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 Description- Data Platform Ownership: Build, maintain, and drive the transition to our new DataPlatform (Dagster, dbt, AWS ECS, and GCP GBQ). You will build a product that acts as a foundation for other data teams, improving their efficiency through custom made tooling, monitoring, data-checks, connectors, cost controlling, testing, CI/CD, cataloging, etc.
- Core-ELT Pipelines: Maintain and optimize the biggest and most fundamental pipelines in the company. You will be responsible for moving terabytes of data from MySQL in AWS to GBQ nightly, including daytime syncs that strictly avoid impacting source system performance
- Core-Reports Delivery: Take responsibility for the most critical reports in the company, which serve as the foundation for executive board decisions and act as a base for data teams in other departments
- You bring at least 4 years of hands-on-experience in Data Engineering or Data Science
- You have solid, hands-on experience in Data Engineering and Software Engineering, particularly in building and maintaining high-volume, business-critical data pipelines
- You have experience developing and operating modern data platforms and act as a multiplier, enabling and supporting other engineering teams
- You bring deep, practical experience with our core tech stack, including Dagster, dbt, Google BigQuery (GBQ), and AWS (ECS)
- You apply strong software engineering principles to data engineering, including CI/CD, testing, best practices, and design patterns
- You have expert-level proficiency in SQL and Python
- You are familiar with infrastructure and deployment setups, such as Docker and Terraform or CloudFormation
- You have a smart, fast brain and know data engineering best practices inside out, but you possess the pragmatism to know when to implement them and when to ship
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.
