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.
Responsibilities
* 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, 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
Seniority level
Entry level
Employment type
Full‑time
Job function
Engineering and Information Technology
Industries
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.
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