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

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

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

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

Stadler Rail AG

Internet, IT

Frauenfeld

  • Art der Beschäftigung: Vollzeit
  • Vor Ort

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

Über diesen Job

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.

Project Engineer - CI/CD for Applied Data Science in Maintenance Technologies 80-100%

  • Frauenfeld, Switzerland
  • 80-100%
  • Open-end
Apply now

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

HOW YOU WILL CONTRIBUTE

  • 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

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

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