Senior Data Engineer transforming data into actionable intelligence for global e-commerce solutions. Developing ETL/ELT pipelines and integrating complex data sources in a hybrid setup.
Responsibilities
Develop the central hub for intelligent data flows
Transform raw manufacturer and marketplace data into actionable intelligence
Build a scalable unified data layer for analytics and services
Develop robust ETL/ELT pipelines and integrate complex external sources
Design data models for price volatility in the automotive aftermarket
Use cloud-native architectures for real-time analytics
Requirements
Expert in Python
Expert in SQL (NoSQL is a plus)
Solid experience with Apache Airflow, Spark, and modern cloud data warehouses such as Snowflake or BigQuery
Experience designing ETL/ELT pipelines
Ideally experience with automotive or eCommerce data
Fluent in English and German
Benefits
Choice of hardware/OS: Windows, macOS, or Linux
Receive €50 tax-free benefits in the form of a Givve Card
Steep learning curve in a motivated, fast-growing team
€500 annual development budget for conferences, courses, books, coaching, etc.
Company pension plan with a 20% employer contribution
Mobility benefits, e.g., discounts on public transport tickets
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