
Senior Analytics Engineer - Brand Analytics (all genders)
- 🇩🇪 Germany
- Hybrid
- Senior
- 18 hours ago
- Data Modeling
- SQL
- Dagster
- Git
- GitLab CI/CD
- dbt
ABOUT YOU is one of Europe’s fastest growing e-commerce companies. Based in Hamburg and Berlin, we operate at the intersection of fashion and technology. Our mission is to rethink online shopping and make it personal and seamless. This takes more than good ideas. It takes people who take initiative and challenge the status quo. We believe in flat hierarchies, direct communication, and pragmatic decisions. No long approval chains. Just ownership, trust, and clear responsibility. We work hard, but we also believe in enjoying the ride together - over team lunches, afterwork drinks, company events, or a quick coffee in between meetings. If this sounds like you, ABOUT YOU could be the right place to bring in your perspective.
TheBrand Analytics team is theinsights engine: its mission is toempower data-driven decision-makingforRetail Media Partners by providing a single source of truth. This creates a powerful opportunity for brands to gain deep performance visibility andturn enterprise-scale data into actionable growth strategies.
While operating within an existing ecosystem, the architecturaltransition from a single monolith into four specialized product teams provides a highly autonomous, greenfield-like environment where your decisions will directly shape our future state and enable us to multiply our Retail Mediarevenue.
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- Design, build, and maintainproduction-grade analytical data transformationsand metrics definitions within Google BigQuery to enable robust performance and budget reporting for ourbidding marketplaces
- Establishrigorous, automated data validation frameworksandschema checks to shield public-facing reporting dashboards and analytical tables from upstream variance or structural drift
- Lead themigration of complex analytical transformation rules and data aggregation queriesdirectly out of historical legacy application repositories into modular, decoupled analytics environments
- Partner with Data Engineersto engineer clean data modeling boundaries around shared catalog assets (such as products and brands) thatconnect the decentralized product stack with core platform endpoints
- Set analytics engineering standards, direct code-reuse conventions, and establish reusable data blueprints within the team
- Expert in designingmodular and performance-optimized analytical data models, and building scalable incrementaltransformations
- AdvancedSQL mastery and extensive native experience withincloud-based big data platforms (e.g. Google BigQuery)
- Practical working familiarity withmodern workflow orchestrators like Dagster to synchronize data assets andevent-driven pipeline schedules
- Extensive experience writing declarative data checks, regression validation assertions, and data quality tests to enforce strict metric definition compliance
- Proficiency withGit version control, structured code review flows, and automated deployment infrastructure likeGitLab CI/CD pipelines
- A structural developer who excels at transforming loose business descriptions into highly structured, reliable, and standardized metrics environments
- Able to cleanlyconvey complex database schemas, transformation choices, and analytical definitionsto software developers
- Highly driven toestablish data blueprints within a technical greenfield context
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Nice To Have:
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- Data Transformation Tooling:Practical, hands-on experience utilizingdbt (Data Build Tool) for managing version-controlled analytical modeling codebases, validation schemas, and deployment workflows
- Domain Expertise:Prior experience working within aneCommerce, retail tech, or ad-tech ecosystem, with a solid understanding of web analytics tracking, funnel parameters, or ad performance metrics
Your perks at a glance: Visit ourbenefits page.
Simply apply online via our career page - we will get back to you as soon as possible!
A Place Where You Can Be You
We take it as our responsibility to create an environment where everyone feels welcome, exactly as they are.
Different backgrounds and perspectives make us stronger and shape our culture in ways that matter.
What we stand for internally, we stand for as a brand: acceptance, inclusion, and a fairer approach to fashion.
Senior Analytics Engineer - Brand Analytics (all genders) · ABOUT YOU SE & Co. KG