Principal Analytics Engineer (f/m/d)

Reposted One Month Ago
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2 Locations
Hybrid
Senior level
eCommerce • Security • Software • Data Privacy
The Role
Define and evolve the lakehouse architecture and standards, build exemplar data products in the Product domain, enable AI-ready metadata and semantic layers, drive analytics-engineering best practices (modeling, testing, CI/CD), evaluate new tools, and mentor analysts and engineers to raise technical craft across teams.
Summary Generated by Built In

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

  • 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 experienced trustee is at your side)

  • Individual training opportunities

  • Events (Team Events, Unit Events, etc.)

  • Health Pass (free online and offline sports, fitness and health courses)

BUILD A COMMUNITY OF TRUST WITH US - #cometotrust
Not sure if you are what we are looking for? Apply!
At Trusted Shops, we are interested in you as a person - whether you fit in with us is
independent of gender, nationality, ethnic and social origin, religion/belief, disability, age, sexual orientation and identity. Trusted Shops is clearly committed to diversity and against discrimination.

Skills Required

  • Designed and built lakehouse architectures with open table formats
  • Experience with Apache Iceberg (or equivalent) and object storage (S3)
  • Experience with serverless query engines such as Athena (or equivalent)
  • dbt experience for modeling and transformations
  • Strong analytics-engineering craft: data-product and dimensional modeling, testing, CI/CD, query performance and cost optimization
  • Demonstrated technical leadership and ability to set standards adopted across teams
  • Hands-on AI experience applied to analytics workflows (AI-assisted modeling, testing, documentation, review)
  • Product mindset treating data as a product with consumers and SLAs
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The Company
800 Employees
Year Founded: 1999

What We Do

Trusted Shops is a European leader in digital trust, founded in 1999 and based in Cologne, Germany. The company provides online retailers and their customers with trust-building services, including a certification trustmark, buyer protection via a money-back guarantee, and a system of authentic customer reviews. Additionally, they offer the eTrusted experience feedback platform and legal compliance assistance to ensure secure e-commerce transactions.

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