(Senior) Data Engineer (all genders)
Hamburg, München, Düsseldorf, remote
R
EUR 60K-75K (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 workloads
- Develop and document web APIs
- Manage cloud infrastructure
- Model and store data in SQL and NoSQL
- Optimize OLAP data warehousing performance and cost
- Orchestrate data workflows
Perks/Benefits
- Coffee and snacks
- Company bike
- Company events
- Fitness membership subsidy
- Flexible working hours
- Fresh fruit
- Home office
- Training and development
- Travel opportunities
Skills/Tech-stack
AWS | Apache Airflow | Apache Spark | Azure | Cloud platform | DBT | Dagster | Data Lake | Docker | ELT | ETL | Google Cloud | Google Cloud Platform | Infrastructure as Code | Kubernetes | Linux | NoSQL | OLAP | OpenAPI | OpenShift | Prefect | Python | Python FastAPI | Python Flask | SQL | Snowflake | Swagger | “as-code”
Education
N/A
Roles
Regions
Countries
States
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