Your missionWe're 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.<ul><li style="font-family:Verdana, Geneva, sans-serif;">Own our pipelines end-to-end, from stakeholder metric definition through dbt modeling, QA, and A/B testing, to Dagster scheduling and production.</li><li style="font-family:Verdana, Geneva, sans-serif;">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.</li><li style="font-family:Verdana, Geneva, sans-serif;">Keep our steering metrics real and trusted as governed metrics-as-code.</li><li style="font-family:Verdana, Geneva, sans-serif;">Run the relevance and content pipelines that keep the platform a reflection of real life.</li><li style="font-family:Verdana, Geneva, sans-serif;">Work closely with Product, engineering, and other stakeholders to translate their data needs into models that hold up in production.</li><li style="font-family:Verdana, Geneva, sans-serif;">Keep our data governance in good shape in terms of quality, security, and compliance.</li><li style="font-family:Verdana, Geneva, sans-serif;">Work with the team to improve personalized recommendations and other ML algorithms.</li></ul>Our stack: dbt, Snowflake, MotherDuck, Dagster, SQL, Python, AWS, GitHub Actions, Docker, VS Code Your profileMust-haves<ul><li style="font-family:Verdana, Geneva, sans-serif;">Experience in a data engineering role or similar, with a solid understanding of data warehousing and ETL concepts.</li><li style="font-family:Verdana, Geneva, sans-serif;">Strong SQL skills and hands-on experience running dbt models in production.</li><li style="font-family:Verdana, Geneva, sans-serif;">Experience with an orchestration tool — we use Dagster.</li><li style="font-family:Verdana, Geneva, sans-serif;">You've built and run data or information infrastructure that other teams depend on.</li><li style="font-family:Verdana, Geneva, sans-serif;">You're comfortable working directly with backend and infrastructure engineers as well as non-technical stakeholders, and can translate between the two.</li><li style="font-family:Verdana, Geneva, sans-serif;">Experience with a cloud data warehouse, ideally Snowflake, and a cloud provider, ideally AWS.</li><li style="font-family:Verdana, Geneva, sans-serif;">You're comfortable with version control, ideally Git.</li><li style="font-family:Verdana, Geneva, sans-serif;">You have experience working with AI coding tools like Claude Code, and know how to use them to move faster without cutting corners.</li><li style="font-family:Verdana, Geneva, sans-serif;">You're sound on GDPR and Article 9 in practice — you know how to design compliant data access for both people and agents.</li></ul>Nice-to-haves<ul><li style="font-family:Verdana, Geneva, sans-serif;">You've taken a ranking or recommendation pipeline through to production.</li><li style="font-family:Verdana, Geneva, sans-serif;">You know your way around ML concepts — you don't need to build models yourself, but understanding the basics helps you work well with our ML engineers.</li><li style="font-family:Verdana, Geneva, sans-serif;">You have experience or are interested in working with data agents and making them reliable.</li><li style="font-family:Verdana, Geneva, sans-serif;">You're fluent in modern data and AI tooling and agentic systems, and understand why curation and semantic context decide whether agents can be trusted.</li><li style="font-family:Verdana, Geneva, sans-serif;">You've led or mentored other engineers, or you're ready to grow into that, with support from our Leadership & Coaching guild.</li></ul>And you're the kind of person who...<ul><li style="font-family:Verdana, Geneva, sans-serif;">Communicates clearly, and can explain complex data concepts to technical and non-technical people alike.</li><li style="font-family:Verdana, Geneva, sans-serif;">Keeps up with new tools and trends in the field, and likes sharing what they learn with the team.</li><li style="font-family:Verdana, Geneva, sans-serif;">Values diversity, collaboration, and inclusion, and helps build a team where everyone feels welcome.</li><li style="font-family:Verdana, Geneva, sans-serif;">Is a systems builder at heart — energized by building what makes everyone else faster and more certain, not by owning a queue.</li><li style="font-family:Verdana, Geneva, sans-serif;">Takes ownership of unsolved problems, like safe AI access to information, rather than waiting for someone else to solve them.</li></ul> What we offer<ul><li style="font-family:Verdana, Geneva, sans-serif;">A hybrid work model that combines at least 2 office days and remote work</li><li style="font-family:Verdana, Geneva, sans-serif;">A meaningful job – we're creating a great product with real added value for the community</li><li style="font-family:Verdana, Geneva, sans-serif;">Work in a cheerful and experienced team that exchanges ideas and learns from each other</li><li style="font-family:Verdana, Geneva, sans-serif;">Insights into the entire work process of our social startup and the nebenan.de foundation</li><li style="font-family:Verdana, Geneva, sans-serif;">Responsibility and great opportunities to actively contribute</li><li style="font-family:Verdana, Geneva, sans-serif;">Your nebenan.de SpenditCard – you'll receive an additional income of 35 Euros per month, which you can use for things of your choice</li><li style="font-family:Verdana, Geneva, sans-serif;">30 days of vacation per year – we also offer the possibility of workation models and a sabbatical</li></ul> If we’ve captured your interest, apply now and let us know why you’re the perfect fit for the job!Find more <a href="https://www.arbeitnow.com/english-speaking-jobs">English Speaking Jobs in Germany</a> on Arbeitnow</a>

Data Engineer (f/m/d)

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