Data Engineer in Artificial Intelligence | Data Engineer (m/w/d) im Bereich Künstliche Intelligenz
Rail Power Systems GmbH
Job Summary
This role is ideal for a Data Engineer passionate about shaping complex data landscapes and deploying high-performance AI solutions into production. The successful candidate will be responsible for building and advancing the technical data and AI infrastructure, including IT, Cloud, and data pipelines. Key tasks involve integrating AI models into existing IT systems, ensuring the scalability and maintainability of applications, and designing and implementing APIs for efficient data access. You will collaborate closely with Data Scientists and IT infrastructure teams to optimize the overall data architecture, evaluate new technologies, and maintain thorough technical documentation. This position requires expertise in data integration, ETL processes, and modern data platforms, offering the chance to contribute significantly to the future of rail infrastructure and energy supply in a future-oriented, international mid-sized company.
Required Skills
Education
Completed degree in (Business) Informatics, Mathematics, Physics, Data Engineering, or comparable field
Experience
- Professional experience in data integration, ETL processes, and building data pipelines
- Practical experience using Airflow, Docker, Podman, Kubernetes, or similar tools
- Professional experience with Cloud platforms (e.g., Microsoft Azure)
- Professional experience with databases (SQL, NoSQL) and modern Data Platforms
- Understanding of Machine Learning workflows and their integration into productive systems
Languages
Additional
- Location constraint: Munich, Germany. Contract duration: Permanent.
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