Databricks Data Engineer

Project overview

For our end client, we are looking for a Databricks Data Engineer (m/f/d) starting November.

Requirements

Databricks & Lakehouse Experience –

Programming & Data Competence –

Migration Expertise – ideally, experience in replacing classic ETL routes and migrating them to Databricks.

Data Modeling & DWH Expertise – profound experience in the classic Business Intelligence environment: data storage, data modeling, data transport, SCD2 historization.

Agile Working Method – experience as a developer within a SCRUM team.

Communication – excellent German language skills in speaking and writing, as well as the ability to communicate clearly and confidently with business departments and other development teams.

• profound practical experience in implementing Lakehouse architectures as well as in setting up and operating Databricks.
• deep knowledge of Delta Lake, Unity Catalog, DLT/SDP, authorization models, and governance mechanisms.
• profound experience in Python, PySpark, and SQL, as well as in performance optimization of large data volumes.
• AI-based support is confidently used to increase efficiency.

Project details

November 2026

long-term (min. 2 years)

Cologne / remote (min. 2 days a week on-site in Cologne)

As a Databricks Data Engineer, you will work closely with business departments and other Data Engineers, delivering robust, scalable data solutions --- iteratively, customer-oriented, and in a Scrum setup.

On the way to our Azure/Databricks target architecture, you will migrate the existing Oracle/Informatica DWH into a modern Azure Lakehouse architecture. You will migrate ETL processes into performant Databricks pipelines, ensure data quality and governance, and support testing, parallel operation, and cutover.

• Start: ab sofort
• Duration: 24 Monate
• Remote: hybrid
• Location: Köln, Deutschland, DE
• Languages: German