Stadler: Project Engineer - CI/CD for Applied Data Science in Maintenance Technologies

We are looking for a motivated and skilled Project Engineer to strengthen our New Maintenance Technologies team. Our mission is to develop cutting-edge, data-driven solutions for railway rolling stock maintenance - from proof-of-concept to fully deployed field applications. As part of our agile and innovative team, you will play a key role in enabling scalable and reliable deployment of our solutions through robust CI/CD practices and seamless integration into our company's digital ecosystem.

HOW YOU CAN MAKE AN IMPACT

• Develop, maintain, and optimize our CI/CD & data pipelines for applied data science projects (GitLab CI / Docker Compose / Airflow)
• Ensure smooth integration of developed solutions into Stadler's IT infrastructure
• Build and maintain interfaces with existing internal tools and systems
• Support the development of condition monitoring use cases by identifying how to leverage available data for condition monitoring, designing data processing frameworks for real-time monitoring, translating field results into actionable maintenance tasks and documenting and communicating findings internally and externally

• Degree or proven experience in Engineering, Computer Science, Data Science, or a related field
• Strong command of Python and SQL (e.g., Microsoft SQL, PostgreSQL, TimeScaleDB)
• Proficiency in German and/or English

Beneficial skills:

• Collaborative software development and version control (e.g., GitLab)
• CI/CD pipelines and deployment automation (GitLab CI, Airlfow)
• Containerization technologies (e.g., DockerCompose)
• Embedded systems or hardware-related development
• Designing informative dashboards (e.g., Streamlit, Grafana, Power BI, Superset)
• Working in the railway industry or with large, complex assets
• Applied data science using unlabelled or heterogeneous data sources
• Project management of complex, cross-functional initiatives