(Senior) Data Engineer (m/f/x)
Tasks
- Build data pipelines
- Build lakehouse for regulatory use cases
- Collaborate with product and engineering teams to deliver data features
- Create data models for reporting advanced analytics and AI
- Design testing and monitoring for pipelines
- Develop cloud data platform
- Implement AWS based data processing solutions
- Ingest backend and third party data
- Monitor data pipeline accuracy reliability and performance
- Prepare and clean structured and unstructured data
- Share data engineering best practices
Perks/Benefits
- Company pension scheme
- Discounted sports activities
- Education budget
- Flexible work arrangements
- German language classes
- International relocation support
- Jobticket subsidy
- Work from abroad
Skills/Tech-stack
AWS | AWS DMS | AWS Glue | AWS IAM | AWS VPC | Amazon Athena | Amazon Kinesis | Amazon S3 | Apache Airflow | Apache Flink | Apache Kafka | DBT | Data Modeling | Infrastructure as Code | Lakehouse | PySpark | Python | SQL | Security groups | Spark Streaming | Terraform | Window Functions | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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