Data engineer in e-commerce

Описание

ABOUT YOU is one of Europe’s fastest-growing e-commerce companies. With locations in Hamburg and Berlin, we bring fashion and technology together. Our mission is to rethink online shopping and make it more personal.

Задачи

• Designing, building, and maintaining robust and scalable data pipelines to enable comprehensive shop performance analyses and reporting for retail media partners
• Developing and implementing automated reporting solutions based on the requirements of various business stakeholders
• Further developing revenue attribution models and expanding reporting capabilities for our advertising platform
• Taking responsibility for data quality across all relevant data assets
• Working closely across functions with Product, Tech, and Retail Media teams

Требования

• You have at least 5 years of relevant professional experience
• Very good SQL skills, including query optimization in big data environments
• Experience with data transformation tools (e.g. dbt) in a big data context
• In-depth knowledge of data modeling, with a focus on robust and flexible data models for high-volume event and tracking data
• A solid understanding of frontend tracking and the implementation of web analytics (e.g. GA4)
• Experience with data orchestration tools (e.g. Dagster, Airflow) and cloud-based big data platforms (e.g. Google BigQuery, AWS Redshift)
• Experience with optimization techniques such as partitioning and clustering
• A high degree of independence and the ability to drive projects forward autonomously
• Strong communication skills for working with different stakeholders
• A structured, solution-oriented approach to work with a high level of attention to detail
• The ability to translate business requirements into technical solutions
• A team-oriented approach to work and experience collaborating with cross-functional teams

Будет плюсом

• In-depth knowledge of Google BigQuery, particularly cost optimization and advanced features;
• Experience with CI/CD pipelines and infrastructure-as-code tools (e.g. GitLab CI/CD, Terraform);
• Practical experience with container technologies (e.g. Docker)

Условия

A place where you can be yourself. We see it as our responsibility to create an environment where everyone can feel welcome as they are. Different backgrounds and perspectives make us stronger and shape our culture. We stand for the same things internally as we do as a brand: acceptance, inclusion, and a fairer approach to fashion.