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.
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.
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 isolationStandards 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 alikeExemplary delivery.
Build data products in the Product domain that set the pattern others follow.
You ship, not just adviseAI-ready data.
Design metadata and semantic layers so agents.