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Working Student - Data Engineering (f/m/x)
Munich
Who we are
Founded in 2019, Marvel Fusion is Europe’s leading fusion energy company, uniting 75 scientists, engineers, and entrepreneurs across our locations in Munich and Colorado.
Backed by over €385 million in public and private funding, we’re driven by a shared mission: to deliver clean, abundant energy to the world.
Why Marvel Fusion
By joining us, you will be:
- Solving one of the most complex technological challenges known to humanity, harnessing Fusion on Earth
- Part of a highly purpose-driven team working on providing the world with clean, safe and abundant energy
- Working alongside world-leading scientists and entrepreneurs in the field of Fusion
- Part of a start-up where growth on a company and individual level is the default
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
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