Required skills
- Databricks
- Azure
- Lakehouse Architecture
- Delta Lake
- Unity Catalog
- DLT/SDP
- Python
- PySpark
- SQL
- Data Warehousing
- Data Modeling
- ETL
- Data Migration
- Data Quality
- Data Governance
- Scrum
Languages: German
Job description
Seeking a Senior Databricks Data Engineer for a long-term transformation project in the telecommunications industry, focusing on migrating an existing Oracle/Informatica DWH to an Azure Lakehouse architecture.
Project overview
For a long-term transformation project at a leading company in the telecommunications industry, we are looking for an experienced Senior Databricks Data Engineer (m/f/d).
The focus is on migrating an existing Oracle/Informatica DWH landscape into a modern Azure Lakehouse architecture.
You will work closely with business departments and other data engineers, developing scalable data solutions based on Azure and Databricks. In addition to technical implementation, you will support the migration of existing ETL processes, ensure data quality and governance, and assist the project teams with testing and go-lives.
Framework Conditions
- Start: ASAP
- Duration: until 31.12.2026
- Extension Option: Yes, long-term collaboration planned
- Utilization: Full-time
- Location: Cologne / Remote
- Remote Share: 60 %
- On-site Share: 40 %
- Experience Level: Senior
- Ideally residing within a 100 km radius of Cologne
Responsibilities
Must-have Requirements
Nice-to-have Requirements
Application
Please apply with your current CV, stating your hourly rate, directly via the FreelancerMap platform.
- Development and operation of data engineering solutions on Azure and Databricks
- Implementation and optimization of Databricks pipelines
- Migration of existing ETL processes into a modern Lakehouse architecture
- Ensuring data quality, governance, and authorization concepts
- Performance optimization of large data volumes
- Support of testing, parallel operation, and cutover phases
- Collaboration with business departments and development teams in a Scrum environment
- Extensive experience with Databricks
- Practical experience in building and operating Lakehouse architectures
- Very good knowledge of Delta Lake, Unity Catalog, and DLT/SDP
- Very good knowledge of Python, PySpark, and SQL
- Experience with Data Warehousing and data modeling
- Experience with historization concepts (SCD2)
- Experience in migrating classic ETL solutions
- Scrum experience
- Very good German language skills
- Experience in Azure Data Platform projects
- Experience with Oracle or Informatica migrations
- Experience with Data Governance frameworks
- Knowledge in the telecommunications environment
Project details
- Start: ab sofort
- Duration: 3 Monate
- Location: DE
- Languages: German
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