Working Student - Data Engineering (f/m/x)

Your responsibilities

In this role, you will: 

• Support the development of internal tools that help scientists and engineers work with experimental data
• Gain hands-on exposure to experimental control systems and support data-related activities during experimental campaigns
• Improve the reliability of data pipelines through debugging, testing, monitoring, and clear documentation
• Contribute to scalable and well-structured data processes that support reproducible scientific work
• Create dashboards, panels, and indicators that make technical systems easier to monitor and understand

What you bring

Must-have:

• Enrolled in Physics, Computer Science, Software Engineering, Data Science, or a related field (3rd year Bachelor's or Master's level)
• Enjoyment of programming and solid basics – or the motivation to build them – in Python, C++, Bash, and Linux
• Basic understanding of databases and how structured data is stored, queried, and organized
• Familiarity with core operating-system and systems-administration concepts
• Clear communication in English and the ability to explain technical problems in a structured way
• A proactive, reliable, and curious mindset – you take ownership and ask good questions
• At least 6 months of remaining student status and availability for 20 hours per week

Nice to have:

• Familiarity with Data Acquisition (DAQ) systems, experimental control, or scientific measurement workflows
• Hands-on experience with electronics, instrumentation, embedded systems, or low-level software
• Experience with Git and collaborative development practices
• Exposure to automation, CI/CD, or infrastructure concepts
• Working knowledge of SQL or interest in data modeling and data-management best practices