We are looking for an experienced Data Engineer to support our Data Engineering Team. The successful candidate will design, develop, and implement data integration solutions that seamlessly integrate various external data sources and customers into our central data platform.
Requirements
- Designing, developing, and implementing data integration solutions
- Working with interdisciplinary teams to understand data requirements and define integration strategies
- Taking technical responsibility for scalable and performant data pipelines
- Using technologies such as Azure native Cloud-Services, Kubernetes, Python, Postgres, Snowflake, and other common databases
- Implementing best practices for data management, data quality, and data security
- Monitoring data pipelines, fixing errors, and implementing proactive measures to ensure optimal performance and reliability
- Staying up-to-date with industry trends and emerging technologies
Benefits
- Remote-First Culture
- Flexible Working Hours
- Team Days
- Equipment (powerful MacBook)
- Further Education (Udemy Pro access)
- Thyssenkrupp pension plan
- Bicycle leasing
- Corporate benefits
- Many more extras
