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Principal Analytics Engineer; f​/m​/d

Online/Außer Haus - Idealerweise für Kandidaten in
50667, Köln, Nordrhein-Westfalen, Deutschland
Unternehmen: Trusted Shops
Vollzeit, Fernarbeit/Heimarbeit position
Verfasst am 2026-09-13
Berufliche Spezialisierung:
  • Software Entwicklung
    Software-Architekt, Backend Entwicklung
Gehalts-/Lohnspanne oder Branchenbenchmark: 95000 - 150000 EUR pro Jahr EUR 95000.00 150000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: Principal Analytics Engineer (f/m/d)

Your duties

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-night work expected
  • If you want to know more about our organisation, feel free to check out the Linked In articles of our CTO

BUILD A COMMUNITY OF TRUST WITH US - #cometotrust

Your profile
  • Deep, hands-on lakehouse experience. You have designed and built lakehouse architectures not just used one. You are 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, and a real instinct for query performance and cost
  • Demonstrated technical leadership beyond a single team. You have set standards or architecture that other teams adopted, and you can influence without formal authority
  • A product mindset. You treat data as a product with consumers and SLAs, including non-human consumers (APIs, AI agents)
  • Concrete, hands-on AI experience in your own work, plus genuine curiosity and a bias toward responsible experimentation
  • Comfort with autonomy and ambiguity. You set direction, make calls, and bring people with you
What we offer you
  • Hybrid work: Combine flexible remote work with team time in the Cologne office (on-site days depending on your location)
  • Workation: Temporarily work from a destination of your choice within the EU, Iceland, Liechtenstein or Norway
  • Permanent contract with Europe's trusted brand
  • One 'Self Education Day' per month
  • 28 vacation days + 2.5 additional days off at Christmas, New Year's Eve and Carnival
  • Buddy programme (an…
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