Job
- Level
- Lead
- Job Field
- Software, Data
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Berlin, Cologne
- Working Model
- Full Remote, Hybrid, Onsite
Job Summary
In this role, you define the Lakehouse architecture, develop standards and data products, mentor your team, and drive innovations in Analytics Engineering and AI.
Job Technologies
Your role in the team
- Trusted Shops develops SaaS solutions for over 40 million users and 30,000 companies across Europe. Our product portfolio includes, among others, the Trustbadge, buyer protection solutions, and the eTrusted Experience Feedback Platform. Our products are part of a 25-year mission: to enable trust between people and businesses in the digital age.
- The Data Services division is shifting its focus from collecting raw data to reliably providing processed and standardized data products. These data products form the foundation for self-service reporting, product-integrated APIs (Metrics-as-a-Service), and access by AI/agents (e.g., via MCP). We develop our data products within a shared Data Lakehouse, where multiple specialized teams work according to common standards.
- For the further implementation, we need someone who sets the technical benchmark. As a Principal Analytics Engineer (m/f/d), you define the Lakehouse architecture and standards that enable teams to move quickly without fragmenting. You work embedded within the Product Data Domain to deliver real data products and expand your colleagues' expertise. This is a hands-on technical leadership role with genuine autonomy – you shape how we build, rather than just working through a backlog.
- Architecture, in collaboration with the teams. Definition and further development of the Lakehouse architecture (S3 + Apache Iceberg + Athena + dbt): table and layer design, partitioning and compression, schema development, team isolation, as well as a unified catalog and discoverability. You design together with the teams, not alone.
- Standards that turn data products into reality. Modeling conventions, the semantic layer, definitions of data products, testing and data quality, CI/CD, documentation, and metadata – to ensure that products can be reliably used by humans, APIs, and AI agents alike.
- Pioneering implementation. Develop data products in the product area that set standards for others to follow. You deliver – you don't just advise.
- AI-ready data. Design metadata and semantic layers in a way that AI agents can accurately query our metrics; advance concrete AI use cases in the build workflow (AI-assisted modeling, testing, documentation, review).
- Identify trends early. Monitor developments around Lakehouse, Analytics Engineering, and AI; conduct targeted evaluations; and promote the adoption of proven approaches.
- People develop. Mentoring Analysts and Engineers, improving the quality of code reviews, creating technical clarity, and constructively challenging the status quo.
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Our expectations of you
Qualifications
- Excellent analytics engineering craftsmanship. Data product and dimensional modeling, testing, CI/CD, as well as a real sense for query performance and cost.
- Proven technical leadership beyond your own team. You have established standards or architectures that other teams have adopted, and you can influence without formal authority.
- Product thinking. You treat data as a product with consumers and SLAs - including non-human consumers (APIs, AI agents).
- Confidence in handling autonomy and ambiguity. You set directions, make decisions, and bring people along.
Experience
- Deep, hands-on Lakehouse experience. You have designed and built Lakehouse architectures — not just used them. You are proficient in open table formats (Apache Iceberg or comparable), Object Storage (S3), serverless query engines (Athena or comparable), and dbt.
- Concrete, hands-on AI experience in one's own work, genuine curiosity, and enjoyment of responsible experimentation.
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What we offer
- Personal Development: You will receive direct support from your Engineering Manager to ensure your growth and success.
- Health and Well-being: Participate in monthly health activities and earn an additional day off for achieving health goals.
- Continuous Learning: Enjoy your "Self Education Day" on the last Friday of every month, where you can focus on your personal development, 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 is expected.
- Hybrid Work: Combine flexible remote work with team days in the office (office days depending on your location).
- Workation: Temporarily work from a location of your choice within the EU, Iceland, Liechtenstein, or Norway.
- Permanent employment with Europe's trusted brand.
- 28 vacation days + 2.5 additional days off at Christmas, New Year's Eve, and Carnival.
- Buddy Program (an experienced Trustee is there to support you).
- Individual development opportunities and internal learning offerings.
- Events (Team Events, Unit Events, etc.).
- Health Pass - free online and offline sports, fitness, and health courses.
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Benefits
Work-Life-Integration
Food & Drink
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Trusted Shops GmbH
Trusted Shops has been working since 1999 to ensure that everyone in the increasingly digitized world can make the best possible decisions. With our seal of quality including buyer protection, we want to offer orientation and security when shopping online. Today, with our rating system, we bring real transparency to all digital areas, far beyond e-commerce.
Description
- Company Size
- 250+ Employees
- Founding year
- 1999
- Company Type
- Digital Agency
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Consulting, Internet, IT, Telecommunication
Principal Analytics Engineer
- Location
- Berlin, Cologne
- Working Model
- Full Remote, Hybrid, Onsite
- Diversity
- Open for all genders
