Your goal is clear: Transform raw manufacturer and marketplace data into actionable intelligence
You develop robust ETL/ELT pipelines and integrate complex external sources such as TecAlliance or ERP systems
You design data models that accurately represent price volatility and compatibilities in the automotive aftermarket
You leverage cloud-native architectures to ensure maximum elasticity and enable real-time analytics for dynamic pricing
You bring structure to complex datasets and help elevate legacy structures to the next technological level

You are a professional in Python and SQL (NoSQL is a plus)
You have solid experience with Apache Airflow, Spark, and modern cloud data warehouses such as Snowflake or BigQuery
You know how to build data lakehouses and have experience designing ETL/ELT pipelines
Ideally, you have already worked with automotive or eCommerce data
You communicate confidently in English (technical context) and German (internal context)

You use your preferred hardware every day, so you can choose between Windows, macOS, or Linux
You receive €50 tax-free benefits in the form of a Givve Card
Steep learning curve in a motivated team that is growing quickly
€500 annual development budget for attending conferences or courses, buying books, or coaching, etc.
Company pension plan with a 20% employer contribution
Mobility benefits such as discounts on public transport tickets
Flexible hybrid/remote setup
Free beverages in the office

Senior Data Engineer – Python, SQL, Cloud-Native

Key skills