Principal Analytics Engineer (f/m/d)

At Trusted Shops, we’re shaping Europe’s Community of Trust – a space where Businesses and Consumers connect with confidence, transparency, and security. Every day, millions of Users and thousands of Companies across Europe trust us to deliver safe, reliable, and seamless digital experiences. Data Services is shifting from being strong in raw data to reliably delivering prepared, standardized data products as the foundation for self-service reporting, product-facing APIs (Metrics-as-a-Service), and AI/agent access (e.g. via MCP). We are building these products inside one shared Data Lakehouse, where multiple domain teams build to a common standard. To make that real, we need someone to set the technical bar. As Principal Analytics Engineer (f/m/d) you define the lakehouse architecture and the standards that let teams move fast without fragmenting, you embed in the Product Data Domain to ship genuine data products, and you raise the craft of everyone around you. This is a hands-on technical leadership role with real autonomy. You shape how we build, not just execute a backlog. To join our Data Service Domain, we are looking for a: Principal Analytics Engineer (f/m/d) Cologne (hybrid) or Berlin (remote) | Permanent Contract (Full-time) Your Key Responsibilities: Architecture, with the teams . Define and evolve the lakehouse architecture (S3 + Apache Iceberg + Athena + dbt): table and layer design, partitioning and compaction, schema evolution, multi-team isolation, and unified catalog & discoverability. You design together with the teams, not in isolation Standards that make data products real. Modeling conventions, the semantic layer, data-product definitions, testing and data-quality, CI/CD, documentation and metadata, so products are reliably consumable by humans, APIs, and AI agents alike Exemplary delivery. Build data products in the Product domain that set the pattern others follow. You ship, not just advise AI-ready data. Design metadata and semantic layers so agents query our metrics correctly; pioneer concrete AI use cases in the build workflow (AI-assisted modeling, testing, documentation, review) Spotting what's next. Track the lakehouse, analytics-engineering, and AI landscape; run lightweight evaluations; and drive adoption of approaches that earn their place Growing people. Mentor analysts and engineers, raise review quality, create technical clarity, and constructively question the status quo Why Join Trusted Shops? Personal Development: You’ll receive direct support from your Engineering Manager, ensuring your growth and success Health & Wellbeing: Participate in monthly health activities and earn an extra vacation day for achieving health goals Continuous Learning: Enjoy your “Self Education Day” every last Friday of the month, where you can focus on personal growth, attend internal tech talks, read a book, or work on your goals Inclusive Work Culture: Flexible working options and a focus on work-life balance. No late