Databricks Data Engineer

Responsibilities

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• Migration of an existing Oracle/Informatica DWH into a modern Azure/Databricks Lakehouse architecture
• Development and optimization of scalable data pipelines with Databricks, Python, PySpark, and SQL
• Transfer of existing ETL processes into performant Databricks pipelines
• Ensuring data quality, governance, and authorization management
• Implementation and optimization of data models, including SCD2 historization
• Support for tests, parallel operation, and cutover during the migration
• Close collaboration with business departments and development teams within an agile Scrum team

Requirements

Do you have time and interest in an exciting project?

We look forward to hearing from you!

Contact:

Julia Barth

Expert Candidate Relations

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• Sound experience with Databricks and the implementation of Lakehouse architectures
• In-depth knowledge of Delta Lake, Unity Catalog, DLT/SDP, and Data Governance
• Very good knowledge of Python, PySpark, and SQL, as well as in processing and performance optimization of large data volumes
• Experience in data modeling, data warehousing, and SCD2 historization
• Knowledge in migrating classic ETL processes to Databricks is an advantage
• Experience in agile software development according to Scrum
• Confident use of AI-supported development tools for efficiency improvement
• Independent, structured way of working and excellent German language skills

Project details

October 2026

3 months ++

D5 Cologne area / 60% remote

Project ID: 15124

Application deadline: 30.10.2026

Dear Network,

We are looking for a Databricks Data Engineer (m/f/d) for our client in the Cologne area.

https://www.constaff.com/projektbeschreibung/?positionID=15124

• Start: ab sofort
• Duration: 3 Monate
• Remote: hybrid
• Location: Köln, Deutschland, DE
• Languages: German