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
