(Senior) Data Engineer (m/f/x)
Tasks
- Build and maintain data pipelines
- Collaborate with product and engineering teams to release features
- Design and implement monitoring for data pipelines
- Design and implement testing for data pipelines
- Develop cloud-based data platform
- Develop high quality data models for reporting analytics and AI
- Ensure data accuracy, reliability, and performance
- Implement lakehouse for regulatory use cases
- Ingest data from internal services and third parties
- Prepare and clean structured and unstructured data
Perks/Benefits
- Company pension scheme
- Discounted sports activities
- Education budget
- German language classes
- International relocation support
- Jobticket subsidy
- Work from abroad
Skills/Tech-stack
AWS | AWS DMS | AWS Glue | AWS IAM | Amazon Athena | Amazon Kinesis | Amazon S3 | Amazon VPC | Apache Airflow | Apache Flink | Apache Kafka | Apache Spark | Apache Spark Streaming | DBT | Infrastructure as Code | PySpark | Python | SQL | Security groups | Spark Streaming | Terraform | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
Roles
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