<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Machine Learning Engineer

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Principal Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions. </li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 5+ years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday:  25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Principal Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.
   


WHAT YOU’LL BRING

 - Experience: 5+ years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday:  25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrolment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Principal Machine Learning Engineer

<h2>Shape the Future of AI &amp; Data with Us</h2>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre &amp; post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. Successful candidates will bring multiple years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.</li><li>Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.</li><li>Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.</li><li>Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.</li><li>Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.</li><li>Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.</li><li>Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.</li><li>End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.</li><li>Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.</li><li>Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.</li><li>Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.</li><li>Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.</li><li>Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.</li><li>Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.</li><li>Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.</li><li>Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Certifications: Google Cloud or AWS Certified Solutions Architect certification.</li><li>ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.</li><li>Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.</li><li>Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.</li><li>Agile Methodologies: Familiarity with Agile frameworks, including Scrum.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As Senior Google Cloud Architect, you will shape the architecture for key projects. You'll be engaging with our customers and prospects to provide pre & post sales architectural advice and thought leadership for machine learning, analytics, and data migration projects. In addition to that, you will be helping us to build out the architectural side of our next-generation machine learning products.

This is an excellent opportunity for an experienced professional in cloud technologies who would like to work as part of a team of experts in the fields of AI and data, as a subject matter expert in solution/cloud architecture. The role is customer-facing, working closely with business and technical influencers, and will require a background in Computer Science. 

Successful candidates will bring multiple years’ experience with cloud platforms like Google Cloud or AWS. Ideally, you'll have served as an SME in designing and migrating applications to live in the cloud, working with complex cloud deployments, and being adept at the design and implementation of complex platforms.


WHAT YOU’LL DO

 - Innovative Technology Work: Utilise cutting-edge, scalable cloud and data processing technologies to develop advanced solutions for customers.

 - Project Leadership: Oversee the design and implementation of enterprise-scale Data and AI projects.

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies.

 - Team and Architecture Development: Shape the architecture team and mentor team members while promoting technical excellence.

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for challenging requirements.

 - Solution Development: Partner with GTM teams to create and refine new market-ready solutions with a focus on technical leadership and governance.

 - Customer Engagement: Conduct architecture reviews for key clients, delivering actionable recommendations to senior stakeholders.

 - Technical Best Practices: Define and embed best practices into project delivery, ensuring quality and consistency across initiatives.

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials.

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, and data engineers.

 - Tech Partner Collaboration: Collaborate closely with partners such as Google Cloud, Tableau, and Looker to leverage their technologies effectively.

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation.


WHAT YOU’LL BRING

 - Educational Background: Bachelor’s or Master’s degree in Computer Science or a related technical discipline.

 - Proven Expertise: Hands-on experience in designing and implementing large-scale big data cloud architectures.

 - End-to-End Ownership: Demonstrated ability to manage projects from conception to completion, employing creative and practical solutions.

 - Technical Prowess: Strong analytical skills with a focus on innovation and technical excellence.

 - Effective Communication: Exceptional verbal and written communication skills, with an eye for detail and the ability to deliver authoritative presentations and proposals.

 - Stakeholder Management: Skills in developing and maintaining relationships with key external stakeholders at various organizational levels.

 - Pre-Sales Experience: Extensive experience in technical pre-sales, with the ability to champion and promote innovative, disruptive proposals.

 - Holistic Cloud Expertise: Comprehensive knowledge of end-to-end production-grade cloud technologies, covering areas such as data, security, and networking.

 - Container Technology Experience: Proficiency in working with container technologies and leveraging them effectively in projects.

 - Programming Proficiency: Multiple years of experience in programming languages such as Python, Java, and SQL, with a focus on building scalable, high-performance code.

 - Solution Delivery: Demonstrated experience in delivering scalable, robust, and high-performing solutions to meet business needs.

Bonus Points If You Have:

 - Certifications: Google Cloud or AWS Certified Solutions Architect certification.

 - ETL and Data Pipeline Expertise: Experience with ETL tools and Hadoop-based technologies (e.g., Spark) and/or batch/streaming data pipelines such as Beam and Flink.

 - Data Architecture: Proven ability in designing and building data lake and data warehouse solutions with technologies like BigQuery, Azure Synapse, Redshift, Oracle, Teradata, etc.

 - Analytics Tools: Experience creating analytical products using tools such as Looker, Tableau, Data Studio, PowerBI, or Qlik.

 - Agile Methodologies: Familiarity with Agile frameworks, including Scrum.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Google Cloud Architect

<h2>Senior Account Manager</h2><h3>Shape the Future of AI &amp; Data with Us</h3>We are Google Cloud’s premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on GCP. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h3>Role</h3>As a Senior Account Manager, you’ll play a critical role in nurturing and growing our existing client relationships while selectively driving new business opportunities in adjacent teams, departments, or businesses where we can add value. Your core focus will be on expanding the scope and value of our partnerships with current clients, ensuring long-term success and sustained revenue growth. This is an ideal opportunity for someone who enjoys deepening strategic partnerships, identifying new value areas for clients, and occasionally opening doors to new business through warm leads, referrals, and ecosystem collaboration.<h3>Goals</h3><ul style="min-height:1.5em"><li>Grow existing client relationships through strategic account development, relationship-building, and opportunity identification.</li><li>Unlock new opportunities via client referrals, ecosystem partnerships (e.g., Google Cloud), and within-group expansion such as new areas, new champions within existing accounts</li><li>Act as a trusted advisor and commercial lead, guiding clients on how Datatonic can support their data and AI ambitions.</li></ul><h3>Responsibilities</h3><ul style="min-height:1.5em"><li>Grow and deepen strategic client relationships, acting as a trusted partner to understand their evolving needs, uncover new opportunities, and drive long-term value through data and AI solutions.</li><li>Collaborate with our delivery and technical teams to showcase the impact of our work, align on future priorities, and co-create roadmaps that support client goals.</li><li>Own the full commercial relationship - from shaping scopes of work and navigating procurement to managing contracts, pricing, and commercial strategy - ensuring a smooth, strategic experience.</li><li>Identify and convert new opportunities within existing client groups or through warm referrals, ecosystem partnerships like Google, and inbound interest, focusing on expansion rather than cold prospecting.</li><li>Balance strategic thinking with hands-on execution, managing a portfolio of high-value accounts while ensuring both immediate client needs and long-term growth objectives are met.</li></ul><h3>Requirements</h3><ul style="min-height:1.5em"><li>Professional experience in a client-facing, commercial role within a fast-paced and results-oriented environment.</li><li>Proven success in growing enterprise or mid-market accounts through strategic planning and consultative engagement.</li><li>Strong understanding of how large organisations make decisions and how to navigate complex stakeholder environments.</li><li>Confidence working cross-functionally with technical teams (engineering, data science, consulting) and business teams (product, marketing, finance).</li><li>A consultative and relationship-driven approach to selling and account development.</li><li>Strong initiative, natural curiosity, and a genuine interest in helping clients succeed.</li><li>Exceptional people skills: you build rapport easily and are a credible voice in the room.</li><li>Relevant Bachelor's degree.</li></ul><h3>What Would Really Set You Apart</h3><ul style="min-height:1.5em"><li>Experience managing and growing accounts within a data, AI, or technology consultancy.</li><li>Background in working with enterprise clients in Telco, Retail, Insurance, Gaming or Media</li><li>A passion for data and technology, you get excited about AI, ML, Big Data, and Cloud.</li></ul><h3>What’s in It for You?</h3>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym discounts (Nuffield Health, Virgin Active, Pure Gym)</li><li>Hybrid Model: Work-from-home allowance</li><li>Learning &amp; Growth: Access to Udemy and more to fuel your curiosity</li></ul><h3>Why Datatonic?</h3>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact? Apply now and take your career to the next level.

SENIOR ACCOUNT MANAGER


SHAPE THE FUTURE OF AI & DATA WITH US

We are Google Cloud’s premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on GCP. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


ROLE

As a Senior Account Manager, you’ll play a critical role in nurturing and growing our existing client relationships while selectively driving new business opportunities in adjacent teams, departments, or businesses where we can add value. Your core focus will be on expanding the scope and value of our partnerships with current clients, ensuring long-term success and sustained revenue growth.

This is an ideal opportunity for someone who enjoys deepening strategic partnerships, identifying new value areas for clients, and occasionally opening doors to new business through warm leads, referrals, and ecosystem collaboration.


GOALS

 - Grow existing client relationships through strategic account development, relationship-building, and opportunity identification.

 - Unlock new opportunities via client referrals, ecosystem partnerships (e.g., Google Cloud), and within-group expansion such as new areas, new champions within existing accounts

 - Act as a trusted advisor and commercial lead, guiding clients on how Datatonic can support their data and AI ambitions.


RESPONSIBILITIES

 - Grow and deepen strategic client relationships, acting as a trusted partner to understand their evolving needs, uncover new opportunities, and drive long-term value through data and AI solutions.

 - Collaborate with our delivery and technical teams to showcase the impact of our work, align on future priorities, and co-create roadmaps that support client goals.

 - Own the full commercial relationship - from shaping scopes of work and navigating procurement to managing contracts, pricing, and commercial strategy - ensuring a smooth, strategic experience.

 - Identify and convert new opportunities within existing client groups or through warm referrals, ecosystem partnerships like Google, and inbound interest, focusing on expansion rather than cold prospecting.

 - Balance strategic thinking with hands-on execution, managing a portfolio of high-value accounts while ensuring both immediate client needs and long-term growth objectives are met.


REQUIREMENTS

 - Professional experience in a client-facing, commercial role within a fast-paced and results-oriented environment.

 - Proven success in growing enterprise or mid-market accounts through strategic planning and consultative engagement.

 - Strong understanding of how large organisations make decisions and how to navigate complex stakeholder environments.

 - Confidence working cross-functionally with technical teams (engineering, data science, consulting) and business teams (product, marketing, finance).

 - A consultative and relationship-driven approach to selling and account development.

 - Strong initiative, natural curiosity, and a genuine interest in helping clients succeed.

 - Exceptional people skills: you build rapport easily and are a credible voice in the room.

 - Relevant Bachelor's degree.


WHAT WOULD REALLY SET YOU APART

 - Experience managing and growing accounts within a data, AI, or technology consultancy.

 - Background in working with enterprise clients in Telco, Retail, Insurance, Gaming or Media

 - A passion for data and technology, you get excited about AI, ML, Big Data, and Cloud.


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym discounts (Nuffield Health, Virgin Active, Pure Gym)

 - Hybrid Model: Work-from-home allowance

 - Learning & Growth: Access to Udemy and more to fuel your curiosity


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?
Apply now and take your career to the next level.

Senior Account Manager

<h2>Shape the Future of AI &amp; Data with Us</h2>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines</li><li>Best Practices Advisory: Provide expert advice to customers on DevOps best practices</li><li>Function Optimisation: Establish and enhance DevOps functions within clients’ organisations</li><li>Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>DevOps Experience: 4+ years of experience in the DevOps field or as a Software Engineer</li><li>Programming Skills: Proficiency in Python, Java, or Go programming languages</li><li>CI/CD Expertise: In-depth knowledge of CI/CD tools and processes</li><li>Tech Enthusiasm: Strong passion for technology and a drive to continuously learn</li><li>Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts</li></ul>Bonus Points If You Have:<ul style="min-height:1.5em"><li>Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment</li><li>Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes</li><li>SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles</li><li>Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud</li><li>Client-Facing Role: Prior experience in a client-facing position</li><li>SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud</li></ul><h2>What’s in It for You?</h2>We believe in empowering our team to thrive, with benefits including:<ul style="min-height:1.5em"><li>Holiday: 25 days plus bank holidays (obviously!)</li><li>Health Perks: Private health insurance (Vitality Health) and Smart Health Services</li><li>Fitness &amp; Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).</li><li>Hybrid Model: A WFH allowance to keep you comfortable.</li><li>Learning &amp; Growth: Access to platforms like Udemy to fuel your curiosity.</li><li>Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)</li><li>Life Insurance: (3 x your base salary!)</li><li>Income Protection: (up to 75% of base salary, up to 2 years) </li><li>Cycle to Work Scheme</li><li>Tech Scheme </li></ul><h2>Why Datatonic?</h2>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior DevOps Engineer, you will play a key role in establishing and enhancing DevOps practices within our clients' organisations.

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.


WHAT YOU’LL DO

 - Pipeline Development: Collaborate with clients to design and implement robust DevOps pipelines

 - Best Practices Advisory: Provide expert advice to customers on DevOps best practices

 - Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

 - Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery


WHAT YOU’LL BRING

 - DevOps Experience: 4+ years of experience in the DevOps field or as a Software Engineer

 - Programming Skills: Proficiency in Python, Java, or Go programming languages

 - CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

 - Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

 - Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts

Bonus Points If You Have:

 - Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

 - Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes

 - SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

 - Cloud Native Architecture: Hands-on experience with cloud-native architectures, ideally on Google Cloud

 - Client-Facing Role: Prior experience in a client-facing position

 - SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud


WHAT’S IN IT FOR YOU?

We believe in empowering our team to thrive, with benefits including:

 - Holiday: 25 days plus bank holidays (obviously!)

 - Health Perks: Private health insurance (Vitality Health) and Smart Health Services

 - Fitness & Wellbeing: 50% gym membership discounts (Nuffield Health, Virgin Active, Pure Gym).

 - Hybrid Model: A WFH allowance to keep you comfortable.

 - Learning & Growth: Access to platforms like Udemy to fuel your curiosity.

 - Pension: (Auto-enrollment after probation period. 3% employer contributions raising 1% per year of service to a max of 10%)

 - Life Insurance: (3 x your base salary!)

 - Income Protection: (up to 75% of base salary, up to 2 years) 

 - Cycle to Work Scheme

 - Tech Scheme 


WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior DevOps Engineer

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.<h2>About Syntio</h2>Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.Innovation is at the core of what we do. Our dedicated R&amp;D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.<h3>Location &amp; Work Model</h3>This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.<h3>Language &amp; Communication</h3>While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.<h2>Your Mission</h2>As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.To be successful, you will need strong ML &amp; Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI &amp; Cloud.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.</li><li>Data Science: Conduct ML experiments using programming languages with machine learning libraries.</li><li>GenAI: Leverage generative AI to develop innovative solutions.</li><li>Optimisation: Optimise machine learning solutions for performance and scalability.</li><li>Custom Code: Implement tailored machine learning code to meet specific needs.</li><li>Data Engineering: Ensure efficient data flow between databases and backend systems.</li><li>MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.</li><li>ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.</li><li>Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.</li><li>Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.</li><li>Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.</li><li>Software Engineering: Hands-on experience with foundational software engineering practices.</li><li>Database Proficiency: Strong knowledge of SQL for querying and managing data.</li><li>Scalability: Experience scaling computations using GPUs or distributed computing systems.</li><li>ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).</li><li>Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Scale-up experience.</li><li>Cloud certifications (Google CDL, AWS Solution Architect, etc.).</li></ul><h2>What’s in It for You?</h2><ul style="min-height:1.5em"><li>Exciting Projects: Engage in diverse and challenging data engineering projects across industries.</li><li>Learning &amp; Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.</li><li>Competitive Salary &amp; Benefits: Attractive compensation package and employee benefits.</li><li>Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.</li><li>Community &amp; Social Activities: Participate in events organized by the Syntio Sports and Social Club.</li><li>Professional Growth: Benefit from development programs like The Power Business School.</li></ul><h1>Why Syntio?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.


ABOUT SYNTIO

Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.

Innovation is at the core of what we do. Our dedicated R&D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.


LOCATION & WORK MODEL

This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.


LANGUAGE & COMMUNICATION

While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.


YOUR MISSION

As a Machine Learning Engineer, you'll know how to engineer beautiful code in Python and take pride in what you produce. You'll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role, we'd be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects, finding creative ways to use machine learning to solve problems, scoping projects, and overseeing the delivery of these engagements.

To be successful, you will need strong ML & Data Science fundamentals and will know the right tools and approach for each ML use case. You'll be comfortable with model optimisation and deployment tools and practices. Furthermore, you'll also need excellent communication and consulting skills, with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.


WHAT YOU’LL DO

 - Translating Requirements: Interpret vague requirements and develop models to solve real-world problems.

 - Data Science: Conduct ML experiments using programming languages with machine learning libraries.

 - GenAI: Leverage generative AI to develop innovative solutions.

 - Optimisation: Optimise machine learning solutions for performance and scalability.

 - Custom Code: Implement tailored machine learning code to meet specific needs.

 - Data Engineering: Ensure efficient data flow between databases and backend systems.

 - MLOps: Automate ML workflows, focusing on testing, reproducibility, and feature/metadata storage.

 - ML Architecture Design: Create machine learning architectures using Google Cloud tools and services.

 - Engineering Software for Production: Build and deploy production-grade software for machine learning and data-driven solutions.


WHAT YOU’LL BRING

 - Experience: 1-3 years as a Machine Learning Engineer, preferably with a consulting background.

 - Programming Skills: Proficiency in Python as a backend language, capable of delivering production-ready code in well-tested CI/CD pipelines.

 - Cloud Expertise: Familiarity with cloud platforms such as Google Cloud, AWS, or Azure.

 - Software Engineering: Hands-on experience with foundational software engineering practices.

 - Database Proficiency: Strong knowledge of SQL for querying and managing data.

 - Scalability: Experience scaling computations using GPUs or distributed computing systems.

 - ML Integration: Familiarity with exposing machine learning components through web services or wrappers (e.g., Flask in Python).

 - Soft Skills: Strong communication and presentation skills to effectively convey technical concepts.


BONUS POINTS IF YOU HAVE:

 - Scale-up experience.

 - Cloud certifications (Google CDL, AWS Solution Architect, etc.).


WHAT’S IN IT FOR YOU?

 - Exciting Projects: Engage in diverse and challenging data engineering projects across industries.

 - Learning & Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.

 - Competitive Salary & Benefits: Attractive compensation package and employee benefits.

 - Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.

 - Community & Social Activities: Participate in events organized by the Syntio Sports and Social Club.

 - Professional Growth: Benefit from development programs like The Power Business School.


WHY SYNTIO?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Machine Learning Engineer 

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.<h2>About Syntio</h2>Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.Innovation is at the core of what we do. Our dedicated R&amp;D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.<h3>Location &amp; Work Model</h3>This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.<h3>Language &amp; Communication</h3>While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.<h2>Your Mission</h2>We are looking for a Senior Data Engineer to join our team. The ideal candidate will have a strong foundation in data warehousing and integrations, proficiency in Python or Java programming, and experience with version control systems like Git. This role involves collaborating with cross-functional teams, developing and optimising data platforms, and ensuring efficient data processing and storage solutions.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Data Platform Design &amp; Development: Design and develop robust, scalable data platform solutions to meet business needs.</li><li>Data Processing Optimisation: Develop and optimise data processing workflows to ensure efficiency and reliability.</li><li>Cross-Team Collaboration: Work closely with data scientists, analysts, and other engineers to fulfill data requirements.</li><li>Governance &amp; Security Implementation: Apply data governance policies and maintain security best practices.</li><li>Performance Monitoring &amp; Improvement: Continuously monitor and enhance the performance and reliability of data pipelines.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Professional Experience: Minimum of 5 years in data warehousing, integrations, or related roles.</li><li>Programming Skills: Strong proficiency in Python or Java programming languages.</li><li>DevOps Knowledge: Familiarity with DevOps processes and practices.</li><li>Language Proficiency: Fluent in English, both written and spoken.</li></ul><h2>Bonus Points If You Have</h2><ul style="min-height:1.5em"><li>Cloud Platforms: Experience working with cloud environments like AWS, Azure, or Google Cloud.</li><li>Modern Data Stack: Knowledge of tools and frameworks used in the modern data ecosystem.</li><li>Big Data Technologies: Experience with Hadoop, Spark, or similar big data platforms.</li><li>Data Mesh &amp; Decentralisation: Understanding of data mesh principles and decentralised data systems.</li><li>Infrastructure as Code: Hands-on experience with Terraform, Pulumi, or similar IaC tools.</li><li>Automation &amp; Scripting: Experience with bash scripting and automation workflows.</li><li>Message Brokers: Familiarity with Kafka, Google PubSub, Azure EventHubs, or equivalent technologies.</li><li>Real-Time Data Processing: Experience designing or working with real-time streaming data solutions.</li><li>Data Governance Tools: Knowledge of data governance frameworks and tools.</li><li>Containerisation &amp; Orchestration: Experience with Docker and Kubernetes container technologies.</li></ul><h2>What’s in It for You?</h2><ul style="min-height:1.5em"><li>Exciting Projects: Engage in diverse and challenging data engineering projects across industries.</li><li>Learning &amp; Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.</li><li>Competitive Salary &amp; Benefits: Attractive compensation package and employee benefits.</li><li>Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.</li><li>Community &amp; Social Activities: Participate in events organized by the Syntio Sports and Social Club.</li><li>Professional Growth: Benefit from development programs like The Power Business School.</li></ul><h1>Why Syntio?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.


ABOUT SYNTIO

Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.

Innovation is at the core of what we do. Our dedicated R&D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.


LOCATION & WORK MODEL

This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.


LANGUAGE & COMMUNICATION

While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.


YOUR MISSION

We are looking for a Senior Data Engineer to join our team. The ideal candidate will have a strong foundation in data warehousing and integrations, proficiency in Python or Java programming, and experience with version control systems like Git. This role involves collaborating with cross-functional teams, developing and optimising data platforms, and ensuring efficient data processing and storage solutions.


WHAT YOU’LL DO

 - Data Platform Design & Development: Design and develop robust, scalable data platform solutions to meet business needs.

 - Data Processing Optimisation: Develop and optimise data processing workflows to ensure efficiency and reliability.

 - Cross-Team Collaboration: Work closely with data scientists, analysts, and other engineers to fulfill data requirements.

 - Governance & Security Implementation: Apply data governance policies and maintain security best practices.

 - Performance Monitoring & Improvement: Continuously monitor and enhance the performance and reliability of data pipelines.


WHAT YOU’LL BRING

 - Professional Experience: Minimum of 5 years in data warehousing, integrations, or related roles.

 - Programming Skills: Strong proficiency in Python or Java programming languages.

 - DevOps Knowledge: Familiarity with DevOps processes and practices.

 - Language Proficiency: Fluent in English, both written and spoken.


BONUS POINTS IF YOU HAVE

 - Cloud Platforms: Experience working with cloud environments like AWS, Azure, or Google Cloud.

 - Modern Data Stack: Knowledge of tools and frameworks used in the modern data ecosystem.

 - Big Data Technologies: Experience with Hadoop, Spark, or similar big data platforms.

 - Data Mesh & Decentralisation: Understanding of data mesh principles and decentralised data systems.

 - Infrastructure as Code: Hands-on experience with Terraform, Pulumi, or similar IaC tools.

 - Automation & Scripting: Experience with bash scripting and automation workflows.

 - Message Brokers: Familiarity with Kafka, Google PubSub, Azure EventHubs, or equivalent technologies.

 - Real-Time Data Processing: Experience designing or working with real-time streaming data solutions.

 - Data Governance Tools: Knowledge of data governance frameworks and tools.

 - Containerisation & Orchestration: Experience with Docker and Kubernetes container technologies.


WHAT’S IN IT FOR YOU?

 - Exciting Projects: Engage in diverse and challenging data engineering projects across industries.

 - Learning & Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.

 - Competitive Salary & Benefits: Attractive compensation package and employee benefits.

 - Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.

 - Community & Social Activities: Participate in events organized by the Syntio Sports and Social Club.

 - Professional Growth: Benefit from development programs like The Power Business School.


WHY SYNTIO?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Data Engineer

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations. We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Pipeline Development: Design, implement, and automate scalable and resilient CI/CD &amp; DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.</li><li>Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.</li><li>Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work</li><li>Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies</li><li>Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements</li><li>Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials</li><li>Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers</li><li>Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively</li><li>Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation</li><li>Best Practices Advisory: Provide expert advice to customers on DevOps best practices</li><li>Function Optimisation: Establish and enhance DevOps functions within clients’ organisations</li><li>Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer</li><li>Programming Skills: Proficiency in Python, Java, or Go programming languages</li><li>CI/CD Expertise: In-depth knowledge of CI/CD tools and processes</li><li>Tech Enthusiasm: Strong passion for technology and a drive to continuously learn</li><li>Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts</li><li>Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.</li><li>Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment</li><li>Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation</li><li>SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles</li><li>Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.</li><li>Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.</li><li>SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud</li></ul><h1>Why Datatonic?</h1>Datatonic is a UK-based company with offices in Croatia, Sweden, and Switzerland. Our Croatian team works on a hybrid basis, with members distributed across the country. This role is open to candidates based anywhere in Croatia, provided they are willing to travel to Zagreb on a weekly basis.Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior DevOps Engineer, you will play a key role in establishing, leading and enhancing DevOps practices within our clients' organisations. 

We are looking for a proactive and skilled professional who thrives in a dynamic, technology-driven environment and is eager to contribute to the growth and innovation of an established scale-up. This role offers the chance to apply your expertise and grow your career while making a tangible impact on cutting-edge projects.


WHAT YOU’LL DO

 - Pipeline Development: Design, implement, and automate scalable and resilient CI/CD & DevOps pipelines on Google Cloud Platform, tailored to client-specific AI/ML and data engineering needs.

 - Infrastructure as Code (IaC) Pipelines: Develop and maintain IaC pipelines using tools like Terraform to automate infrastructure provisioning and deployment on GCP, improving efficiency and consistency.

 - Technical Best Practices: Define and embed best practices into our internal processes to enhance the quality and consistency of our work

 - Technical Thought Leadership: Introduce innovative ideas and approaches to enhance Datatonic’s capabilities and methodologies

 - Sales Support: Collaborate with sales teams to provide technical expertise during client engagements and help scope solutions for requirements

 - Knowledge Sharing: Contribute to Datatonic’s internal knowledge base, including technical collateral and thought leadership materials

 - Agile Collaboration: Work in a dynamic, agile environment alongside data scientists, machine learning experts, data analysts, architects and data engineers

 - Tech Partner Collaboration: Collaborate closely with partners such as Google to leverage their technologies effectively

 - Mentorship and Leadership: Guide team members, fostering a culture of growth and innovation

 - Best Practices Advisory: Provide expert advice to customers on DevOps best practices

 - Function Optimisation: Establish and enhance DevOps functions within clients’ organisations

 - Stakeholder Engagement: Engage with customers and project teams throughout the project development lifecycle to ensure seamless delivery


WHAT YOU’LL BRING

 - DevOps Experience: 4+ years of experience in the DevOps field or as a Platform Engineer

 - Programming Skills: Proficiency in Python, Java, or Go programming languages

 - CI/CD Expertise: In-depth knowledge of CI/CD tools and processes

 - Tech Enthusiasm: Strong passion for technology and a drive to continuously learn

 - Team Collaboration: Eagerness to join a diverse team of ML, AI, and DevOps enthusiasts

 - Cloud Platform: Experience with Google Cloud technologies such as Cloud Run, Cloud Functions, Cloud Scheduler, Workflow, and Cloud Composer for automating deployments and managing infrastructure.

 - Containerisation/Virtualisation Expertise: Proficiency with technologies such as Terraform and Kubernetes


BONUS POINTS IF YOU HAVE:

 - Start-Up/Scale-Up Experience: Previous experience working in a start-up or scale-up environment

 - Open-Source Contributions: History of contributions to open-source projects, showcasing collaboration and innovation

 - SRE Principles: Experience in implementing Site Reliability Engineering (SRE) principles

 - Other Cloud Platforms: Experience/certifications for other cloud platforms such as AWS or Azure.

 - Data Science Knowledge: Basic understanding of topics like machine learning, data mining, statistics, and data visualisation, with some practical experience preferred.

 - SDN Knowledge: Understanding of Software Defined Networking (SDN) on Google Cloud


WHY DATATONIC?

Datatonic is a UK-based company with offices in Croatia, Sweden, and Switzerland. Our Croatian team works on a hybrid basis, with members distributed across the country. This role is open to candidates based anywhere in Croatia, provided they are willing to travel to Zagreb on a weekly basis.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

 

Senior DevOps Engineer 

<h1>Shape the Future of AI &amp; Data with Us</h1>At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.<h2>Your Mission</h2>As a Senior Analytics Engineer, you will work on a variety of projects leveraging the Modern Data Stack. Your expertise will focus on technologies such as dbt, Looker, Snowflake, BigQuery, and Google Cloud. In this role, you will take a leadership position in client engagements, collaborating closely with the Delivery Manager. You'll also provide guidance to the team and contribute to coding tasks when necessary to ensure project success.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Foundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients.</li><li>Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.</li><li>Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including:<ul style="min-height:1.5em"><li>Transforming, testing, deploying, and documenting data.</li><li>Understanding data modeling techniques.</li><li>Optimising and storing data for warehouse technologies.</li></ul></li><li>Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers.</li><li>Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.</li><li>Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Experience: 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).</li><li>Technical Expertise: Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.</li><li>Project Management: Natural ability to manage multiple initiatives and clients simultaneously.</li><li>SQL Proficiency: Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL.</li><li>Business Translation: Experience in translating business requirements into technical solutions.</li><li>Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences.</li><li>Leadership: Experience in managing small teams and a genuine passion for line management.</li><li>Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability, and performance.</li></ul><h2>Bonus Points If You Have:</h2><ul style="min-height:1.5em"><li>dbt Developer certification</li><li>Google Cloud Professional Data Engineer certification</li><li>Snowflake's Snowpro Certification</li><li>Experience with Scrum Methodology</li></ul><h2></h2><h1>Why Datatonic?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

SHAPE THE FUTURE OF AI & DATA WITH US

At Datatonic, we are Google Cloud's premier partner in AI, driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning, data engineering, and analytics on Google Cloud Platform. By partnering with us, clients future-proof their operations, unlock actionable insights, and stay ahead of the curve in a rapidly evolving world.


YOUR MISSION

As a Senior Analytics Engineer, you will work on a variety of projects leveraging the Modern Data Stack. Your expertise will focus on technologies such as dbt, Looker, Snowflake, BigQuery, and Google Cloud.

In this role, you will take a leadership position in client engagements, collaborating closely with the Delivery Manager. You'll also provide guidance to the team and contribute to coding tasks when necessary to ensure project success.


WHAT YOU’LL DO

 - Foundational Support for Analytics and Data Science Teams: Build the infrastructure that enables analytics and data science teams to deliver innovative, impactful solutions for clients.

 - Google Cloud Migration and Data Warehouse Solutions: Assist clients in migrating their existing business intelligence and data warehouse solutions to Google Cloud.

 - Design and Build Data Warehouses and Data Marts: Design and implement new data warehouse and data mart solutions, including:
   
   - Transforming, testing, deploying, and documenting data.
   
   - Understanding data modeling techniques.
   
   - Optimising and storing data for warehouse technologies.

 - Collaboration with Technology Partners: Work closely with technology partners such as Google Cloud, Snowflake, dbt, and Looker, mastering their technologies and building a network with their engineers.

 - Agile and Dynamic Team Collaboration: Collaborate in an agile and dynamic environment with a team of data engineers, BI analysts, data scientists, and machine learning experts.

 - Applying Software Engineering Best Practices: Implement software engineering best practices to analytics processes, such as version control, testing, and continuous integration.


WHAT YOU’LL BRING

 - Experience: 4+ years in a data-related role (e.g., Data Engineer, Data Analyst, Analytics Engineer).

 - Technical Expertise: Hands-on experience with Looker, dbt, modern data warehouses like Snowflake or BigQuery, and Kimball data modeling.

 - Project Management: Natural ability to manage multiple initiatives and clients simultaneously.

 - SQL Proficiency: Skilled in writing analytical SQL, with an understanding of the difference between SQL that works and performant SQL.

 - Business Translation: Experience in translating business requirements into technical solutions.

 - Communication Skills: Ability to communicate complex ideas simply to a wide range of audiences.

 - Leadership: Experience in managing small teams and a genuine passion for line management.

 - Cultural Alignment: Complete alignment with our culture of transparency, empathy, accountability, and performance.


BONUS POINTS IF YOU HAVE:

 - dbt Developer certification

 - Google Cloud Professional Data Engineer certification

 - Snowflake's Snowpro Certification

 - Experience with Scrum Methodology





WHY DATATONIC?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Senior Analytics Engineer (dbt, Looker)

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.<h2>About Syntio</h2>Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.Innovation is at the core of what we do. Our dedicated R&amp;D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.<h3>Location &amp; Work Model</h3>This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.<h3>Language &amp; Communication</h3>While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.<h2>Your Mission</h2>We are looking for a Data Engineer to join our team. The ideal candidate will have a strong foundation in data warehousing and integrations, proficiency in Python or Java programming, and experience with version control systems like Git.<h2>What You’ll Do</h2><ul style="min-height:1.5em"><li>Data Platform Development: Develop optimised and scalable data platform solutions to meet business needs.</li><li>Cross-Team Collaboration: Support data scientists, analysts, and fellow engineers in delivering high-quality data products.</li><li>Data Governance &amp; Security: Implement and maintain best practices in data governance and security.</li><li>Pipeline Monitoring &amp; Optimisation: Monitor, troubleshoot, and improve data pipeline performance and reliability.</li></ul><h2>What You’ll Bring</h2><ul style="min-height:1.5em"><li>Educational Background: Degree in Computer Science, Mathematics/Statistics, Engineering, or a related field.</li><li>Data Integration Experience: Hands-on experience in data integrations and pipeline development.</li><li>Professional Experience: Minimum of 2 years’ experience in data engineering or backend software development.</li><li>DevOps Familiarity: Understanding of DevOps practices and workflows.</li><li>Language Skills: Fluent in English, both written and spoken.</li></ul><h2>Bonus Points If You Have</h2><ul style="min-height:1.5em"><li>Cloud Platforms: experience working with cloud platforms such as AWS, Azure, or GCP.</li><li>Modern Data Stack: Familiarity with tools in the modern data stack (e.g., dbt, Snowflake, Airflow).</li><li>Big Data Technologies: Experience with Hadoop, Spark, or similar big data frameworks.</li><li>Infrastructure as Code: Basic knowledge of IaC tools like Terraform or Pulumi.</li><li>Automation &amp; Scripting: Experience with bash scripting and automation processes.</li><li>Containerisation &amp; Orchestration: Basic experience with Docker and Kubernetes.</li></ul><h2>What’s in It for You?</h2><ul style="min-height:1.5em"><li>Exciting Projects: Engage in diverse and challenging data engineering projects across industries.</li><li>Learning &amp; Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.</li><li>Competitive Salary &amp; Benefits: Attractive compensation package and employee benefits.</li><li>Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.</li><li>Community &amp; Social Activities: Participate in events organized by the Syntio Sports and Social Club.</li><li>Professional Growth: Benefit from development programs like The Power Business School.</li></ul><h1>Why Syntio?</h1>Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!Are you ready to make an impact?Apply now and take your career to the next level.

On behalf of our group company, Syntio, we are looking for a Data Engineer to join our team in Croatia.


ABOUT SYNTIO

Syntio is a premium data engineering consultancy recognised for delivering cutting-edge knowledge and cloud-based solutions to tackle complex data challenges on a global scale. We are proud to have been acknowledged by the Financial Times as the fastest-growing data engineering company in Europe.

Innovation is at the core of what we do. Our dedicated R&D department ensures we stay ahead in the ever-evolving data space, continually pushing the boundaries of what’s possible.


LOCATION & WORK MODEL

This role is based in Croatia, with our offices located in Zagreb. We follow a hybrid working model, including occasional travel to the office.


LANGUAGE & COMMUNICATION

While our Croatian office operates primarily in Croatian, we collaborate with multinational clients. Datatonic is an English-speaking company, so we are looking for candidates fluent in English, both written and spoken, as it is our main language of communication.


YOUR MISSION

We are looking for a Data Engineer to join our team. The ideal candidate will have a strong foundation in data warehousing and integrations, proficiency in Python or Java programming, and experience with version control systems like Git.


WHAT YOU’LL DO

 - Data Platform Development: Develop optimised and scalable data platform solutions to meet business needs.

 - Cross-Team Collaboration: Support data scientists, analysts, and fellow engineers in delivering high-quality data products.

 - Data Governance & Security: Implement and maintain best practices in data governance and security.

 - Pipeline Monitoring & Optimisation: Monitor, troubleshoot, and improve data pipeline performance and reliability.


WHAT YOU’LL BRING

 - Educational Background: Degree in Computer Science, Mathematics/Statistics, Engineering, or a related field.

 - Data Integration Experience: Hands-on experience in data integrations and pipeline development.

 - Professional Experience: Minimum of 2 years’ experience in data engineering or backend software development.

 - DevOps Familiarity: Understanding of DevOps practices and workflows.

 - Language Skills: Fluent in English, both written and spoken.


BONUS POINTS IF YOU HAVE

 - Cloud Platforms: experience working with cloud platforms such as AWS, Azure, or GCP.

 - Modern Data Stack: Familiarity with tools in the modern data stack (e.g., dbt, Snowflake, Airflow).

 - Big Data Technologies: Experience with Hadoop, Spark, or similar big data frameworks.

 - Infrastructure as Code: Basic knowledge of IaC tools like Terraform or Pulumi.

 - Automation & Scripting: Experience with bash scripting and automation processes.

 - Containerisation & Orchestration: Basic experience with Docker and Kubernetes.


WHAT’S IN IT FOR YOU?

 - Exciting Projects: Engage in diverse and challenging data engineering projects across industries.

 - Learning & Development: Access continuous learning opportunities, certification plans, and Syntio's extensive knowledge library.

 - Competitive Salary & Benefits: Attractive compensation package and employee benefits.

 - Innovative Culture: We encourage fresh ideas and daily experimentation to drive innovation.

 - Community & Social Activities: Participate in events organized by the Syntio Sports and Social Club.

 - Professional Growth: Benefit from development programs like The Power Business School.


WHY SYNTIO?

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Syntio, innovation isn’t just encouraged - it’s embedded in everything we do. If you’re ready to inspire change and deliver value at the forefront of data and AI, we’d love to hear from you!

Are you ready to make an impact?

Apply now and take your career to the next level.

Data Engineer

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