Data Engineer (all genders)
Hamburg, München, Düsseldorf, remote
R
EUR 60K-70K (estimate) Mid-level Full Time
Tasks
- Automate deployments with infrastructure as code and containers
- Build Python ETL/ELT pipelines
- Design data architectures for batch and streaming
- Develop web APIs with Python frameworks
- Lead data engineering projects from scope to measurable results
- Model and store data in SQL and NoSQL databases
- Optimize database performance and cost
- Orchestrate data workflows
- Provision and manage cloud infrastructure
- Work with data lake technologies
Perks/Benefits
- Career growth opportunities
- Company bike
- Flexible working hours
- Free snacks and drinks
- Home office
- Sabbatical option
- Training and development
- Wellpass subsidy
- Work-life balance
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Batch data | Cloud platform | DBT | Dagster | Data Lakes | Data Warehousing | Docker | ELT | ETL | Google Cloud | Google Cloud Platform | Indexing | Infrastructure as Code | Kubernetes | NoSQL | OLAP | OpenAPI | OpenShift | Partitioning | Prefect | Python | SQL | Sharding | Snowflake | Streaming Data | Swagger | Web API | “as-code”
Education
N/A
Roles
Regions
Countries
States
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