Engineering Manager (GCP)

  • Technical Delivery
  • Barcelona, Spain
  • Full-time


As Google Cloud's premier partner in data and analytics, we provide world-class businesses with cutting-edge data solutions in the cloud.

We help clients take leading technology to the limits by combining our expertise in machine learning, data engineering, and analytics. 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 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.

As Engineering Manager at Datatonic, you will:

  • Have experience as either a Senior/Lead Engineer, or prior experience in a management role within an engineering team.
  • Work closely with our CTO and Global Engineering Leads to build a team aligned to the overall company mission
  • Define employee’s personal and professional learning and development plans, align projects to match their plans and interests, ensure high quality delivery of projects for our clients, and conduct regular performance and career development reviews.
  • Work closely with the Head of People to build the Spanish team up to 15 people by the end of 2022, 25 by end of 2023, 50 by end of 2024.
  • Lead from the front by making active contributions to pre-sales and project delivery, in addition to managing others.
  • Play an active role in helping to maintain an excellent team culture aligned to our core values: learning, collaboration, ownership, and impact.
  • Work closely with our tech partners: Google Cloud, DBT, Snowflake, Intel, DoIT


  • Demonstrated leadership and management experience of technical employees.
  • Commitment to continuous professional development - both for self and for team members.
  • Excellent presentation skills including the ability to clearly explain complex analyses to various audiences and levels of seniority (including Directors, Executives and Board level).
  • Multiple years experience as an Data, MLOps or Machine Learning Engineer
  • Experience building solutions in a Cloud environment, ideally with Google Cloud (GCP) experience.
  • Excellent software engineering skills
  • Experience with a range of big data technologies: e.g. Spark, Beam, Kafka, Flink, Hadoop, etc.


The Basics: 25 days holiday in addition to bank holidays, choice of laptop, pension scheme, team bonus payable annually, home equipment allowance

Health & Wellbeing: Private Healthcare Insurance, Employee Assistance Program, Working From Home Allowance, Discounted Gym Membership

Learning: Datatonic encourages continuous learning at all levels with a generous conference budget, freedom to explore the latest tools and technologies as well as regular knowledge-sharing activities. You will get access to Linux Academy, Coursera, and LinkedIn Learning and a €800 Conference Budget

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!

Team Vibe & Social: A welcoming and friendly team plus regular monthly (some virtually) social events and seasonal events with expenses partially covered


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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