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# Working Student Data Engineering, AI & Digital Dashboards

- **Company:** Tesat-Spacecom GmbH & Co. KG
- **Location:** Hamburg, Germany
- **Salary:** €38,542.0
- **Contract:** Temporary contract
- **Skills:** Artificial Intelligence, Computer Programming, Data Architecture, Information Engineering, Python (Programming Language), SQL Databases, Palantir Foundry, Prompt Engineering, Backend, Information Technology, Data Analytics, Gsuite
- **Published:** October 30, 2026
- **Apply:** https://ag.wd3.myworkdayjobs.com/wday/cxs/ag/global/job/Hamburg-Area/Working-Student--d-f-m--Data-Engineering--AI---Digital-Dashboards_JR10450746

## About the Role

* Education: Currently enrolled fulltime as Master's student (d/f/m) in Computer Science, Business Informatics, Data Science, Data Engineering, or a comparable technical field.
 * Language Skills: Fluent English skills (C1) are mandatory; German and/or French language skills are a plus.
 * Core Technical Foundations: Practical experience in programming with SQL, Python, and Apps Script, combined with an interest in data modeling concepts and AI-assisted tools (e.g. Prompt Engineering).
 * Google Workspace: Familiarity with Google Workspace tools for reporting and digital workflow integration.
 * Familiarity with Skywise / Palantir Foundry-or experience in relevant data & UI modules (e.g. Contour, Workshop, Slate or SQL data modeling)-is a strong plus.
 * Soft Skills: A proactive and structured self-starter with a helping-oriented mindset, dedicated to supporting end-users and solving real stakeholder needs. Excellent communication skills, critical thinking, and a sharp eye for high data quality.

Are you interested and ready to take off with us? Please upload the following documents in English: cover letter, CV, relevant certificates, and current certificate of enrollment.

This role requires an awareness of potential compliance risks and integrity in conduct. Both are essential prerequisites for the success, good reputation, and sustainable growth of our company.

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company's success, reputation and sustainable growth.

## Description

Are you passionate about data analytics, interactive dashboards, Artificial Intelligence (AI), and modern digital tools? Do you want to apply your analytical mindset and technical curiosity directly within the dynamic environment of an international aerospace group? Then come on board to help us build innovative digital solutions, explore AI-driven capabilities, and streamline work processes across our global sites! We are looking for a motivated Master's student (d/f/m) to join our team for 15-18 hours per week., You will receive a collectively agreed salary of at least €18.53 per hour, depending on the job. There are also special payments such as vacation pay., Working students are students who are enrolled at a University or some other institution of higher education, and who are employed in a reasonably long, fixed-term position parallel to their studies. This position must not be confused with an internship or with the possibility of writing a final thesis.

This employment usually takes place directly on the company's premises. A working student's main focus remains on their studies, which is why, during term-time, working students are not allowed to work more than 20 hours per week.

Working students therefore usually work near their place of study, so as to conveniently combine studying and employment., * Build Dashboards & Data Guardianship: Build interactive Skywise applications (Workshop, Slate, Contour) and backend data models. Serve as a data guardian for the team by creating and maintaining clear documentation for the data architecture and analytics landscape.

 * Streamline & Automate Workflows: Identify process optimization opportunities and transform them into modern, automated reporting and tools using Skywise, Google Workspace, and smart AI-assisted capabilities.
 * Evaluate Digital Feasibility: Assess new feature requests for data availability and technical feasibility in Skywise to help prioritize the team's development roadmap.
 * Present Prototypes & Demo Solutions: Run live demonstrations of working Skywise tools in management reviews and capture user feedback to continuously improve usability.
 * Drive Site Adoption: Coordinate pre-release trial runs and deliver hands-on user training to onboard teams across our global sites.