Project Engineer - CI​/CD Applied Data Science in Maintenance Technologies

Project Engineer - CI/CD for Applied Data Science in Maintenance Technologies – Frauenfeld

Join to apply for the Project Engineer – CI/CD for Applied Data Science in Maintenance Technologies – Frauenfeld role at Stadler.

• Develop, maintain, and optimize our CI/CD & data pipelines for applied data science projects (Git Lab 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, Postgre
  
  SQL, TimeScale
  
  DB)
• Proficiency in German and/or English

• Collaborative software development and version control (e.g., Git Lab)
• CI/CD pipelines and deployment automation (Git Lab CI, Airflow)
• Containerization technologies (e.g., Docker Compose)
• 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

Entry level

Full‑time

Engineering and Information Technology

Railroad Equipment Manufacturing

If you are interested in the position, please include a cover letter linking clearly your past experience and/or education with the above mentioned skills.