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.
Job DescriptionThe Brand Analytics team is the insights engine: its mission is to empower data-driven decision-making for Retail Media Partners by providing a single source of truth. This creates a powerful opportunity for brands to gain deep performance visibility and turn enterprise-scale data into actionable growth strategies.
While operating within an existing ecosystem, the architectural transition 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 Media revenue.
- Design, build, and maintain production-grade analytical data transformations and metrics definitions within Google BigQuery to enable robust performance and budget reporting for our bidding marketplaces
- Establish rigorous, automated data validation frameworks and schema checks to shield public-facing reporting dashboards and analytical tables from upstream variance or structural drift
- Lead the migration of complex analytical transformation rules and data aggregation queries directly out of historical legacy application repositories into modular, decoupled analytics environments
- Partner with Data Engineers to engineer clean data modeling boundaries around shared catalog assets (such as products and brands) that connect 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 designing modular and performance-optimized analytical data models, and building scalable incremental transformations
- Advanced SQL mastery and extensive native experience within cloud-based big data platforms (e.g. Google BigQuery)
- Practical working familiarity with modern workflow orchestrators like Dagster to synchronize data assets and event-driven pipeline schedules
- Extensive experience writing declarative data checks, regression validation assertions, and data quality tests to enforce strict metric definition compliance
- Proficiency with Git version control, structured code review flows, and automated deployment infrastructure like GitLab CI/CD pipelines
- A structural developer who excels at transforming loose business descriptions into highly structured, reliable, and standardized metrics environments
- Able to cleanly convey complex database schemas, transformation choices, and analytical definitions to software developers
- Highly driven to establish data blueprints within a technical greenfield context
Nice To Have:
- Data Transformation Tooling: Practical, hands-on experience utilizing dbt (Data Build Tool) for managing version-controlled analytical modeling codebases, validation schemas, and deployment workflows
- Domain Expertise: Prior experience working within an eCommerce, 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 our benefits 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.
Skills Required
- Expertise designing modular, performance-optimized analytical data models and scalable incremental transformations
- Advanced SQL skills and extensive experience with cloud-based big data platforms such as Google BigQuery
- Working familiarity with workflow orchestrators such as Dagster and event-driven pipeline schedules
- Experience writing declarative data checks, regression validation assertions, and data quality tests
- Proficiency with Git version control, structured code reviews, and automated deployment infrastructure such as GitLab CI/CD
- Ability to transform loose business descriptions into structured, reliable, standardized metrics environments
- Ability to communicate complex database schemas, transformation choices, and analytical definitions to software developers
- Drive to establish data blueprints in a technical greenfield context
- Hands-on experience with dbt for version-controlled analytical modeling, validation schemas, and deployment workflows
- Experience in e-commerce, retail technology, or ad-tech, including web analytics tracking, funnel parameters, or advertising performance metrics
What We Do
SCAYLE enables brands and retailers to realize their D2C ambition. Easy. Fast. And limitless. With headless commerce technology, international operations, and data-driven marketing. Our commerce engine is proven by the success of ABOUT YOU and allows brands to scale infinitely – empowering them to become market leaders in their industry.
