(Senior) Data Engineer (m/f/x)
Tasks
- Build data pipelines
- Collaborate with engineering teams on data features
- Create data models for advanced analytics
- Create data models for reporting
- Design and implement data pipeline monitoring
- Design and implement data pipeline testing
- Develop cloud data platform
- Ensure data accuracy, reliability, and performance
- Ingest data from internal services and third parties
- Integrate lakehouse for regulatory use cases
- Maintain data stack
- Prepare and clean structured data
- Prepare and clean unstructured data
Perks/Benefits
- Education budget
- Flexible work
- German language classes
- Jobticket subsidy
- Pension scheme
- Relocation support
- Sports activity discounts
- Work from abroad support
Skills/Tech-stack
AWS | AWS IAM | Apache Airflow | Athena | DBT | DMS | Data Pipelines | Flink | Glue | Infrastructure as Code | Kafka | Kinesis | Lakehouse | PySpark | Python | S3 | SQL | Security groups | Spark Streaming | Terraform | VPC | Window Functions | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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