Senior Data Engineer (Databricks) (m/w/d)
Tasks
- Automate infrastructure with Terraform
- Build and optimize data pipelines (batch and streaming)
- Collaborate with cross-functional teams in Agile projects
- Design data architectures
- Ensure data and AI governance security and compliance
- Integrate Databricks components
- Manage DevOps processes with CI CD
- Support customer demos and presales
- Translate technical solutions to business context
Perks/Benefits
- 30 days paid vacation
- Allowance for mobile workspace
- Bahncard
- Bike leasing
- Corporate benefits platform
- Deutschlandticket
- EAP for family members
- Employee assistance program
- Flexible holiday calendar
- Flexible working hours
- International collaboration
- Mentoring program
- Onsite and remote trainings
- Remote work
- Retirement support
- Sabbatical
- Top company recognition
- Workation
Skills/Tech-stack
Agile | Apache Spark | Azure Data | Azure Data Factory | CI/CD | DBT | Data Factory | Data Lake | Data Lakehouse | Data Warehouse | Databricks | Delta Lake | ELT | ETL | Infrastructure as Code | Kafka | Kanban | MLOps | Python | SQL | Scala | Scrum | Streaming | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
Regions
Countries
States
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