Your responsibilities
- Develop internal tools enabling users to work with experimental data
- Support experimentalists during experimental campaigns
- Maintain and improve existing data pipelines (robustness & observability)
- Design smart data processes and governance frameworks
- Build and implement monitoring dashboards and panels
What you bring
Must-have:
- Enrolled in Computer Science, Software Engineering, Data Science, or related field (B.Sc. or M.Sc.)
- Familiarity with Python and OOP
- Basic understanding of data warehousing and ETL/ELT
- Basic understanding of networking and systems administration
- Excellent English communication skills
Nice to have:
- Basic understanding of DAQ systems
- Hands-on experience with electronic devices, instrumentation, or embedded hardware
- Experience with Git
- Familiarity with automation/orchestration tools
- SQL proficiency
For more information on how we process your application data, please review our privacy notice.
