About Trusted Shops
At Trusted Shops, we're shaping Europe's Community of Trust – a space where Businesses and Consumers connect with confidence, transparency, and security.
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.
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.
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.
- Standards that make data products real. Modeling conventions, the semantic layer, data-product definitions, testing and data-quality, CI/CD, documentation and metadata.
- Exemplary delivery. Build data products in the Product domain that set the pattern others follow.
- AI-ready data. Design metadata and semantic layers so agents query our metrics correctly; pioneer concrete AI use cases in the build workflow.
- Spotting what's next. Track the lakehouse, analytics-engineering, and AI landscape; run lightweight evaluations.
- Growing people. Mentor analysts and engineers, raise review quality, create technical clarity.
Your Profile
- Deep, hands-on lakehouse experience. You have designed and built lakehouse architectures not just used one.
- Strong with open table formats (Apache Iceberg or equivalent), object storage (S3), serverless query engines (Athena or equivalent), and dbt.
- Excellent analytics-engineering craft: data-product and dimensional modeling, testing, CI/CD, query performance and cost.
- Demonstrated technical leadership beyond a single team.
- A product mindset — you treat data as a product with consumers and SLAs, including non-human consumers.
- Concrete, hands-on AI experience in your own work.
What we offer you
- Hybrid work: Combine flexible remote work with team time in the Cologne office
- Workation: Temporarily work from a destination of your choice within the EU, Iceland, Liechtenstein or Norway
- Permanent contract, one "Self Education Day" per month
- 28 vacation days + 2.5 additional days off
- Buddy programme, individual training opportunities
- Events, Health Pass