Senior Analytics Engineer

  • Technical Delivery
  • Stockholm, Sweden
  • Full-time


At Datatonic, we provide businesses with cutting-edge data and AI solutions in the cloud. We partner with Google Cloud to help clients take cloud technology to the limits. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

Our team consists of experts in architecture, machine learning, data science, data engineering, business intelligence, and design. We all share a passion for data, believe in a pragmatic approach to solving hard problems, and believe that with the right team and technology, data has the power to transform any business.


We are looking for Senior Analytics Engineers to work closely with our business intelligence and engineering teams to build new or migrate existing data warehouses, marts, and products on Google Cloud Platform.

You will be responsible for designing, building, and maintaining end-to-end business intelligence solutions, with a primary focus on enterprise-wide data warehouse design, data models, and storage optimisation. Typically with DBT, snowflake/Bigquery and GCP.

We partner with Google Cloud to help clients take cloud technology to the limits. With Google Cloud Platform as our foundation, we help businesses future-proof their solutions, deepen their understanding of consumers, increase competitive advantage and unlock operational efficiencies.

You will work alongside:

  • BI Analysts: Responsible for designing, building and maintaining analytics solutions, with a primary focus on business unit-specific data marts, self-service data models, and building front-end analytical visualisations/reports (typically Looker), and training business users.
  • Architects: Responsible for designing the solution and data architectures. data architects design the end-to-end business intelligence solutions with a focus on designing the most optimal data model and architecture solution.
  • Data Engineers: Responsible for building applications which connect systems, collect data, process that data into a useful format. Often this data is ‘big’ and requires distributed frameworks to move and process. A data engineer is a key cog in a data platform as they look after the acquisition of data for analytics, and connecting the output of analytics to operational systems.

Your core goals as an Senior Analytics Engineer are:

  • Build the foundation on top of which our analytics and data science teams will build innovative, impactful solutions with our clients;
  • Help our clients migrate existing business intelligence and data warehouse solutions to Google Cloud Platform;
  • Design and build brand new data warehouse & data mart solutions for our clients;
    • Transforming, testing, deploying, and documenting data
    • Understand data modelling techniques
    • Understand optimization and storage for warehouse technology
  • Work closely with our tech partners: Google Cloud Platform, Snowflake, dbt and Firebolt, in understanding their tech inside out and forming a network with their engineers
  • Work in an agile and dynamic environment together with our data engineers, BI analysts, data scientists, and machine learning experts.
  • Apply software engineering best practices to analytics; version control, testing and continuous integration.


Bonus Points:

Understanding of our core tools:

  • Cloud Platform: Google cloud platform
  • Transformation Tools: DBT, dataform, sql
  • Data Warehouses: Bigquery, Snowflake and Firebolt
  • Orchestration: DBT, Airflow (composer)
  • Version control, git, CI/CD
  • Looker


The Basics: 30 days holiday in addition to bank holidays, Private Occupational Pension (Salary Sacrifice), Team Bonus payable annually, choice of laptop

Health & Wellness: 4500 kr Private Health Insurance Allowance per year, 5000 kr Wellness Allowance per year, Employee Assistance Program

Learning: 8500 kr Conference Budget + 4 days attendance per year, Access to Linux Academy, Coursera, and LinkedIn Learning

Career Development: A personalised development plan to ensure you hit your professional goals with a clear roadmap for progression

Impact: The opportunity to work on cutting-edge AI and ML solutions spanning multiple industries and with market-leading organisations

Innovation: Access to Datatonic LABs, our Research & Development hub. Experiment and bring forward ideas, create impactful and meaningful work in a creative and collaborative environment - even just for fun!

Flexible Working: A mix of office and remote working, 1200 kr Home Equipment Allowance

Team Vibe & Social: A welcoming and friendly team plus weekly Team Lunches and Monthly Social Events


We’re an eclectic team with lots of different interests and personalities. We have many different roles across data science, engineering, analytics, consulting, marketing, business development, and operations. We have offices in the UK, Stockholm, Geneva, Munich, and Barcelona, and we work with clients in many other European countries. We allow for flexible working hours and the possibility of remote work.

As a company, we have a strong emphasis on learning and professional development. Our core values are:

Cultivating Excellence

A hub for continuous learning, curiosity, developing ideas, testing things out - and then putting ‘excellence’ into practice.

Owning It

Working collaboratively in cross-functional teams to achieve customer delight. We love what we do and draw immense satisfaction from taking responsibility and seeing the results of our work.

Purposeful Impact

Creating positive change for our customers, using the most relevant machine learning and analytics approaches and the best technologies to meet real business needs.

Winning with Partners & Friends

Our business has been built on great partnerships and open-source collaboration. It’s one thing to be successful, but to do it in partnership with great people and other great companies is even better in our opinion.

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