Erstellt am 17. Mai 2026
Working Student - Data Engineering (f/m/x)
Marvel Fusion
München, Bayern 80331, Germany
Vollzeit
Reference: 1094096368
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:
Your responsibilities
Must-have:
Nice to have:
For more information on how we process your application data, please review our privacy notice.
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
- 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
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.