Senior Data Engineer (Databricks) (m/w/d)
Tasks
- Automate infrastructure with Terraform
- Build and integrate Databricks components
- Collaborate with cross-functional teams in Agile projects
- Design data architectures
- Ensure data and AI governance, security, compliance
- Implement DEVOPS processes (CI/CD)
- Implement data pipelines batch streaming
- Optimize data processing with Spark and Databricks
- Support customer demos and presales
- Translate technical solutions to business context
Perks/Benefits
- Corporate benefits platform
- Employee Assistance Program (EAP)
- Flexible working hours
- Inhouse trainings
- Mentoring
- Mentoring program
- Online courses
- Remote work
- Sabbatical opportunities
- Travel within DACH region
- Workation
Skills/Tech-stack
Apache Spark | Azure Data | Azure Data Factory | CI/CD | DBT | Data Factory | Data Lake | Data Warehouse | Databricks | Delta Lake | Delta Tables | ELT | ETL | Infrastructure as Code | Kafka | MLOps | Python | SQL | Scala | Streaming | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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