Data Engineer (fmd)

Were looking for a Data Engineer to join our Information and AI Platform and own our data pipelines end to end from data modeling to experimentation to production.

• Own our pipelines end-to-end from stakeholder metric definition through dbt modeling QA and A/B testing to Dagster scheduling and production.
• Move us from people asking for reports to a system that answers self-service for coworkers reliable answers for AI agents a self-describing warehouse.
• Keep our steering metrics real and trusted as governed metrics-as-code.
• Run the relevance and content pipelines that keep the platform a reflection of real life.
• Work closely with Product engineering and other stakeholders to translate their data needs into models that hold up in production.
• Keep our data governance in good shape in terms of quality security and compliance.
• Work with the team to improve personalized recommendations and other ML algorithms.

Our stack: dbt Snowflake MotherDuck Dagster SQL Python AWS GitHub Actions Docker VS Code

• Experience in a data engineering role or similar with a solid understanding of data warehousing and ETL concepts.
• Strong SQL skills and hands-on experience running dbt models in production.
• Experience with an orchestration tool we use Dagster.
• Youve built and run data or information infrastructure that other teams depend on.
• Youre comfortable working directly with backend and infrastructure engineers as well as non-technical stakeholders and can translate between the two.
• Experience with a cloud data warehouse ideally Snowflake and a cloud provider ideally AWS.
• Youre comfortable with version control ideally Git.
• You have experience working with AI coding tools like Claude Code and know how to use them to move faster without cutting corners.
• Youre sound on GDPR and Article 9 in practice you know how to design compliant data access for both people and agents.

• Youve taken a ranking or recommendation pipeline through to production.
• You know your way around ML concepts you dont need to build models yourself but understanding the basics helps you work well with our ML engineers.
• You have experience or are interested in working with data agents and making them reliable.
• Youre fluent in modern data and AI tooling and agentic systems and understand why curation and semantic context decide whether agents can be trusted.
• Youve led or mentored other engineers or youre ready to grow into that with support from our Leadership & Coaching guild.

• Communicates clearly and can explain complex data concepts to technical and non-technical people alike.
• Keeps up with new tools and trends in the field and likes sharing what they learn with the team.
• Values diversity collaboration and inclusion and helps build a team where everyone feels welcome.
• Is a systems builder at heart energized by building what makes everyone else faster and more certain not by owning a queue.
• Takes ownership of unsolved problems like safe AI access to information rather than waiting for someone else to solve them.

• A hybrid work model that combines at least 2 office days and remote work
• A meaningful job were creating a great product with real added value for the community
• Work in a cheerful and experienced team that exchanges ideas and learns from each other
• Insights into the entire work process of our social startup and the foundation
• Responsibility and great opportunities to actively contribute
• Your SpenditCard youll receive an additional income of 35 Euros per month which you can use for things of your choice
• 30 days of vacation per year we also offer the possibility of workation models and a sabbatical

If weve captured your interest apply now and let us know why youre the perfect fit for the job!