ABOUT YOU

Data engineer for shop analytics

In short

Senior data engineer role building and maintaining scalable data pipelines for shop performance and retail media partner reporting at a Berlin/Hamburg-based fashion e-commerce company. The role requires 5+ years of experience, advanced SQL, dbt, data modeling for high-volume event data, and data orchestration tools like Dagster or Airflow on BigQuery/Redshift. It involves close cross-functional collaboration with product, tech, and retail media teams, demanding strong independent ownership of data quality and attribution modeling.

About ABOUT YOU
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.
Responsibilities
•Design, build, and maintain robust and scalable data pipelines enabling comprehensive shop performance and retail media partner reporting
•Design and build automated reporting solutions based on business stakeholder requirements
•Enhance revenue attribution models and expand reporting capabilities for our advertising platform
•Maintain ownership of data quality across our data assets
•Work cross-functionally with product, tech, and retail media teams
Requirements
•At least 5 years of relevant experience
•Advanced SQL skills, including query optimization for big data environments
•Experience with data transformation tools (e.g., dbt) in big data contexts
•Data modeling expertise, with focus on creating robust, flexible models for high-volume event and tracking data
•Solid understanding of frontend tracking and web analytics implementation (e.g., GA4)
•Proficiency with data orchestration tools (such as Dagster, Airflow) and cloud-based big data platforms (e.g., Google BigQuery, AWS Redshift)
•Experience with optimization techniques (partitioning, clustering)
•Strong ability to work independently and drive projects forward
•Excellent communication skills for collaborating with diverse stakeholders
•Problem-solving approach with attention to detail
•Ability to translate business requirements into technical solutions
•Collaborative mindset, with experience working in cross-functional teams
Nice to have
•In-depth knowledge of BigQuery, including cost optimization techniques and complex functionalities
•Experience with CI/CD pipelines and infrastructure-as-code tools (e.g., GitLab CI/CD, Terraform)
•Practical experience with containerization technologies (e.g., Docker)
Conditions
No conditions specified in the posting.

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