Hybrid Senior Data Engineer – Python, SQL, Cloud-Native

Posted 49 minutes ago

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About the role

  • 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
  • Flexible hybrid/remote setup
  • Free beverages in the office

Job title

Senior Data Engineer – Python, SQL, Cloud-Native

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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