Business Consulting and Services

Qmesa - quantitative minds for energy structuring and analytics

1-10

<p>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.</p>
<h2>Tasks</h2>
<p>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:</p>
<ul>
<li>Design and set up a PostgreSQL database as a core component of the platform.</li>
<li>Automate data imports from various sources (APIs, XML, CSV, etc.) at different frequencies (hourly, daily, weekly, monthly).</li>
<li>Integrate our existing Python-based risk models into the BI workflow.</li>
<li>Create and further develop Grafana dashboards to visualize results.</li>
<li>Contribute to the design and implementation of an MCP (Model Context Protocol) setup to connect our platform with modern AI applications.</li>
<li>Ensure data quality, consistency, and proper documentation.</li>
<li>Collaborate closely with our quantitative analysts and consultants as a permanent part of the team.</li>
</ul>
<h2>Requirements</h2>
<ul>
<li>You are enrolled in a Bachelor’s or Master’s program in Computer Science, Data Science, Engineering, or a related field.</li>
<li>Proven, hands-on experience with PostgreSQL (or other SQL databases).</li>
<li>Solid, practical knowledge of Python (e.g., pandas, numpy, API handling).</li>
<li>Experience with dashboard creation (preferably with Grafana).</li>
<li>Interest in European energy markets and risk analytics.</li>
<li>Curiosity to learn about new standards such as MCP and enthusiasm for AI integration.</li>
<li>Independent, structured, and reliable working style is essential.</li>
<li>Strong communication skills in English (German or another European language is a plus).</li>
</ul>
<h2>Benefits</h2>
<ul>
<li>Weekly working time: <strong>12–20 hours</strong> (flexible scheduling).</li>
<li>A longer-term collaboration is explicitly desired.</li>
<li>Work in a highly flexible, remote-friendly setup.</li>
<li>Steep learning curve with real responsibility and exposure to cutting-edge energy market projects.</li>
<li>Open-minded, supportive team that values new perspectives.</li>
<li>Freedom to contribute your own ideas and experiment with new tools.</li>
</ul>
<p>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.</p>

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

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