Arbeitszeit
Teilzeit
Art der Anstellung
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Arbeitsort
München Kreativquartier
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Über uns

UVC Partners is a leading venture capital firm that invests in European B2B tech startups and has offices in Munich and Berlin. With more than €600 million in assets under management, the VC typically invests between €1 to €10 million initially and up to €30 million per startup in the areas of DeepTech, ClimateTech, Mobility, and Software/AI. As an independent partner of UnternehmerTUM, Europe's leading startup hub, UVC Partners has unique access to proprietary deal flow, more than 1,000 corporates and SMEs, as well as to talents from the Technical University of Munich, which belongs to the best European technical universities. UVC Partners' investment portfolio includes Flix, Isar Aerospace, planqc, Proxima Fusion, Reverion, Tacto, TWAICE, DeepDrive, STABL, and many more. All portfolio companies and founders benefit from the team's extensive investment and exit experience, their ability to build sustainable category leaders, and the network of UnternehmerTUM enabling them to speed up market entry.

Deine Aufgaben

As a Working Student Data Engineer, you will support the design and development of scalable data systems that power our investment intelligence and automations. You’ll collaborate closely with our Data Scientist and the investment team to turn scattered, complex data into actionable insight:

  • Assisting in the design and implementation of data pipelines to collect, transform, and structure data from multiple internal and external sources.
  • Working with APIs, databases, and cloud-based storage to prepare data for analysis and modeling.
  • Supporting the integration of ML features and assisting in deploying analytical models in production-like environments.
  • Automating data workflows and improving the efficiency of existing scripts and pipelines.
  • Contributing to internal documentation and data quality assurance processes.
  • Exploring AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) to improve productivity and workflow automation.

Dein Profil

  • We are looking for a motivated, technically curious student who loves building things that work and learning fast while doing so.
  • You are currently enrolled in a Bachelor’s or Master’s program in: Computer Science, Data Engineering, Software Engineering, or a related technical field.
  • Strong programming skills in Python (experience with pandas, SQLAlchemy, or requests a plus).
  • First-hand experience with databases (SQL or NoSQL) and basic data modeling.
  • Interest or prior exposure to ETL tools, APIs, or data pipeline frameworks.
  • Familiarity with cloud environments (AWS, GCP, or similar) and Docker is a plus—not a requirement.
  • A self-starter mindset with strong attention to detail, reliability, and eagerness to learn.
  • Ability to communicate clearly and collaborate with both technical and non-technical stakeholders.

Deine Vorteile

  • A unique opportunity to define and build and mold our firm's data engineering function.

  • A high degree of autonomy and direct impact on our investment strategy.

  • Mentorship from experienced professionals and partners in the venture capital and tech industry.

  • Access to the extensive UnternehmerTUM network of startups, corporates, and tech talent.

  • A collaborative and supportive work culture.

Vielfalt ist uns wichtig

Diversity enriches our team. We explicitly encourage all qualified individuals to apply, regardless of gender, social and ethnic background, sexual orientation, religion, age, or disability.

Kontakt

Please submit your application, including your CV, a current transcript of records, and a link to your GitHub profile or a portfolio of your projects. We look forward to hearing from you!
Please let us also know about your earliest start date!


Marisa Marte People & Culture Talent Acquisition Working Student
UnternehmerTUM GmbH
Lichtenbergstraße 6, 85748 Garching bei München

Please note that the recruiting will be processed by UVC Partners and UnternehmerTUM.

Jetzt bewerben