Data Engineer | Data Engineer (m/w/d)

Experis GmbH

Berlin, Berlin, Deutschland
Published Mar 5, 2026
Full-time
Fixed-term

Job Summary

As a Data Engineer in the retail sector, you will be responsible for the end-to-end design, construction, and optimization of batch data pipelines to support reporting and tool-based use cases. Your daily activities will involve developing production-ready transformations using Spark SQL and Python, managing large datasets, and maintaining sophisticated data models including facts, dimensions, and aggregates. A core part of the role is ensuring data integrity by implementing quality checks and reconciliation logic to handle edge cases like late-arriving data and duplicates. You will act as a bridge between technical infrastructure teams and business stakeholders to translate requirements into scalable technical solutions. This position offers a modern work environment with 2-3 days of home office flexibility, 30 days of vacation, and an attractive salary package within a 12-month project-based fixed-term contract starting in April 2026.

Required Skills

Education

Not specified

Experience

  • At least 5 years of experience in Data Engineering or a comparable professional role
  • Proven experience in building and operating production-grade batch data pipelines
  • Practical experience with Python in the context of data orchestration and processing
  • Extensive experience in large-volume data processing using Spark SQL
  • Professional experience in translating business requirements into technical data solutions

Languages

Not specified

Additional

  • The position is a fixed-term contract (Befristet) for 12 months due to project duration (ending 31.03.2027). Location is Dreilinden near Berlin. Hybrid work model allows for 2-3 days of home office per week.