Düsseldorf, DE, 40221
Working Student - SQL, Power BI & Margining Risk Reporting (f/m/d)
Our Operations & IT team in Düsseldorf is looking for you!
We are Uniper
At Uniper, we are pro-actively transforming the world of energy whilst at the same time ensuring security of energy supply. As an internationally operating company, we work in very diverse teams with the greatest possible working time flexibility for our employees. Our corporate culture is characterized by equal opportunities, mutual appreciation, and respect. With us, you will be able to develop new business models, work on technological solutions for a modern, sustainable, and future-oriented energy supply as well as pro-actively help to shape changes. Interested? Then we will look forward to meeting you!
Your responsibilities
As a Working Student in the Margining Risk Reporting team, you will contribute to the development of the pipelines and dashboards that provide critical information to decision makers across Uniper. In this role, you will work with SQL, Power BI, and automation tools to support new reporting initiatives, streamline existing processes, and help keep the reporting infrastructure up to date with evolving business needs. You will gain practical experience at the intersection of risk management, data engineering and energy trading, while working closely with experienced colleagues from across the business. Your responsibilities:
- Conduct ad hoc analysis to support the ongoing development of the Margining Risk data infrastructure
- Develop, maintain, and optimize Snowflake SQL queries used for data transformation and validation, proactively suggesting improvements in logic and ETL processes
- Assist in designing and building Power BI dashboards and interactive reports
- Work with stakeholders in Risk Management, Data Management and Front Office to translate business requirements into data solutions
- Occasionally support upstream projects with requirements analysis and user acceptance testing (UAT)
- Design, build, and optimize data pipelines to support process automation and selected AI-driven use cases
Your profile
- Currently enrolled in a university program (data science, economics, risk management, finance, mathematics, business informatics, or a related field)
- Strong interest in energy markets and financial risk management in a trading context
- Initial hands-on experience writing and reviewing SQL queries is ideal; proficiency in Excel is required
- Previous experience with Power BI (including DAX) and Power Automate is a plus
- Exposure to data warehousing and cloud platforms (e.g. Snowflake, Oracle, Microsoft Cloud) is an asset
- You bring strong analytical skills, attention to detail, the ability to anticipate edge cases, curiosity and a structured working style
- Excellent English communication skills (German is a plus)
- Available for 12 months
Your benefits
- Support to balance private life and work: Sabbaticals, part-time possibilities, family service
- Coaching
- E-car charging stations at almost all Uniper locations
Health offers:
- Flu vaccination
- Preventive health services
- Employee assistance program
Our employees are the reason for our success. Therefore, you will find many other benefits at the local level to help you reach your potential. Energy evolutionary wanted!
Your contact
If you have any questions, please do not hesitate to contact us at:
career@uniper.energy
Attention! Please apply via the button in this portal. Application documents that reach us by post will not be returned and, like those we receive by e-mail, can unfortunately not be considered!
Job information
| Contract type: | |
| Working hours: | [[filter6]] |
| Start Date: | 01/01/2026 |
| Deadline: | |
| Salary: |
As an employer, Uniper is committed to diversity and equal opportunities. Therefore, we encourage applications from suitably qualified individuals whose capabilities match the role requirements regardless of gender, origin, disability, age, religion, ideology, sexual identity or marital status. We live inclusion and support flexible working.
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