Staff Data Engineer - Finance Tech (all genders)
- Full-time
- Compensation: from EUR 85000 - yearly
Company Description
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
- Development and evaluation of statistical models and algorithms for complex marketing issues
- Independent analysis of complex data with the aim of identifying new insights and potential for performance optimization
- Identifying direct and indirect correlations between relevant key figures and deriving recommendations for action
- Linking and using the content of data from tracking systems and other reporting sources
- Support in the further development and testing of performance-relevant (attribution) models
- Initiation and further development of prediction and classification models using machine learning algorithms
Qualifications
- You bring at least seven years of hands-on experience in Data Science, ideally in an agency, e-commerce, or performance-driven environment
- You have initial experience with machine learning algorithms and a solid understanding of common data analysis methods such as regression and clustering; knowledge of marketing attribution models is a strong plus
- You are proficient in SQL and either Python or R (both are a bonus)
- Experience with Dagster or comparable data orchestration tools is highly appreciated
- You are naturally curious, enjoy exploring new topics, statistical methods, and emerging technologies, and stay up to date with current technical developments
Additional Information
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.