Tender ID:
UV-0078-dezIII-ref-2026

Entry date: January 1, 2027

Application deadline: November 1, 2026

Pay grade: E 13 TV-H

Expiry date:
March 31, 2028

Scope: Part-time (75%)

Founded in 1527, Philipps University offers award-winning teaching for around 22,000 students and addresses the important issues of our time with excellent research across the breadth of science.

In the university administration, Department III Studies and Teaching, Division Quality Assurance in Study Programs, a part-time position (75% of regular working hours) is available from January 1, 2027, to March 31, 2028.

Data warehouse and BI specialist for studies and teaching

The position is to be filled. Classification will be based on qualifications and fulfillment of the collective bargaining agreement requirements, up to pay grade 13 of the collective agreement of the state of Hesse.

Within the framework of the project "Big Data for Big Quality – Evidence-Based Quality Assurance through Modern Data Management," Philipps University of Marburg aims to systematically, sustainably, and efficiently strengthen the role of big data and its application in quality assurance for studies and teaching. The project enables the systematic collection, efficient processing, and rapid, visually understandable presentation of enrollment, course attendance, examination, and graduate data, as well as other quality-relevant data, in the form of a data warehouse using business intelligence software.

Your tasks:

• Integration of enrollment, examination, capacity and utilization data into the data warehouse
• (Further) development of data management in the data warehouse, BI reports, and efficient, sustainable maintenance routines and responsibilities.
• Collaboration and implementation of a role-based access control (RPC) concept in the BI software
• Coordination with and training of participating data providers and recipients
• Contributing to the project documentation

Your profile:

• completed academic university degree (Diploma, Master's or equivalent)
• very good knowledge and experience in building relational databases (SQL) for extremely large and complex datasets
• very good understanding of complex and very extensive data & a fundamental understanding of efficient and sustainable data processing in the context of studies and teaching
• Teamwork skills, the ability to communicate cooperatively and in a results-oriented manner
• a very structured, conscientious and independent way of working
• Experience with campus management systems, study program structures at universities, as well as programming and MS Power Query M and MS Power BI skills are advantageous.

We offer:

• exciting and future-oriented field of activity
• Insights into the data and functionalities of quality assurance in degree programs
• a well-functioning team
• Free use of public transport in Hesse ()
• Occupational pension scheme (VBL)
• Flextime and flexible working

For further information, contact Florian Hofmann

+49 6421-28 22111

florian.hofmann@verwaltung.uni-marburg.de

We promote women and therefore explicitly encourage them to apply. In areas where women are underrepresented, female candidates will be given preference if equally qualified. As a family-friendly university, we support our employees in balancing family and career. A reduction in working hours is generally possible. In accordance with the German Social Code, Book IX (SGB IX, Section 2, Paragraphs 2 and 3), preference will be given to candidates with equal qualifications. Application and interview expenses will not be reimbursed.

Please apply exclusively via the application button below by November 1, 2026.