Working Student / Data Engineering / Business Intelligence Platform (m/f/d)

Are you a curious mind eager to gain hands-on experience at the intersection of data engineering, energy markets, and artificial intelligence? At Qmesa, we are currently building our Business Intelligence Platform from the ground up – this is true pioneer and greenfield work. We are looking for a committed team member who will become an integral part of this journey. The role requires a high degree of independent and self-driven work, as you will take ownership of tasks in a fast-evolving environment. We highly value proactive individuals who enjoy exploring new technologies and who are motivated to grow with us in a long-term collaboration.

As a working student, you will play an important role in developing the backbone of our Business Intelligence Platform for risk models in the European power and gas markets. Specifically, you will:

• Design and set up a PostgreSQL database as a core component of the platform.
• Automate data imports from various sources (APIs, XML, CSV, etc.) at different frequencies (hourly, daily, weekly, monthly).
• Integrate our existing Python-based risk models into the BI workflow.
• Create and further develop Grafana dashboards to visualize results.
• Contribute to the design and implementation of an MCP (Model Context Protocol) setup to connect our platform with modern AI applications.
• Ensure data quality, consistency, and proper documentation.
• Collaborate closely with our quantitative analysts and consultants as a permanent part of the team.

• You are enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Engineering, or a related field.
• Proven, hands-on experience with PostgreSQL (or other SQL databases).
• Solid, practical knowledge of Python (e.g., pandas, numpy, API handling).
• Experience with dashboard creation (preferably with Grafana).
• Interest in European energy markets and risk analytics.
• Curiosity to learn about new standards such as MCP and enthusiasm for AI integration.
• Independent, structured, and reliable working style is essential.
• Strong communication skills in English (German or another European language is a plus).

• Weekly working time: 12–20 hours (flexible scheduling).
• A longer-term collaboration is explicitly desired.
• Work in a highly flexible, remote-friendly setup.
• Steep learning curve with real responsibility and exposure to cutting-edge energy market projects.
• Open-minded, supportive team that values new perspectives.
• Freedom to contribute your own ideas and experiment with new tools.

Interested? Simply upload your CV. If you’d like, add a few sentences about why you want to work with us and what kind of work environment you are looking for.