Required skills
- Databricks & Lakehouse Experience
- Delta Lake
- Unity Catalog
- DLT/SDP
- Authorization Models
- Governance Mechanisms
- Python
- PySpark
- SQL
- Performance Optimization
- Migration Expertise
- ETL Migration
- Data Modeling
- DWH Expertise
- Business Intelligence
- SCD2
- Agile Working Method
- SCRUM
- Communication
Languages: German
Job description
Seeking a Senior Databricks Data Engineer for a long-term project in Cologne, focusing on migrating an existing DWH to an Azure Lakehouse architecture using Databricks. The role involves iterative development within a Scrum setup and requires strong Python, PySpark, SQL, and data modeling skills.
Project overview
For our client in Cologne, we are currently looking for a Senior Databricks Data Engineer.
a) Framework Data:
b) Task Description:
c) Profile Requirements
- Duration: asap until 31.12.2026 (option for extension, long-term cooperation desired)
- Location: 40% on-site in Cologne and 60% remote (2 days on-site & 3 days remote per week)
- Industry: Telecommunications
- 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 to a modern Azure Lakehouse architecture. You will migrate ETL processes into performant Databricks pipelines, ensure data quality and governance, and accompany tests, parallel operations, and cutover.
- Databricks & Lakehouse Experience:
- 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.
- Programming & Data Competence:
- 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.
- Migration Expertise – ideally experience in replacing classic ETL routes and migrating to Databricks.
- Data Modeling & DWH Expertise – profound experience in the classic Business Intelligence environment: data storage, data modeling, data transport, historization according to SCD2.
- 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.
Project details
- Start: 19.10.2026
- Duration: 31.12.2026
- Remote: hybrid
- Location: 50678 Köln, DE
- Languages: German
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