
Working Student – Data Engineer
Allianz Digital Health GmbH
part-time
Posted on:
Location Type: Hybrid
Location: Munich • 🇩🇪 Germany
Visit company websiteJob Level
Entry Level
Tech Stack
Python
About the role
- Develop visualizations to communicate insights from risk modeling calculations.
- Support data quality initiatives by identifying, analyzing, and resolving data issues.
- Implement scalable data pipelines to support analytics and reporting projects.
- Investigate and communicate best practices for AI-assisted software development.
Requirements
- Enrolled student in a master’s program (Computer Science, Data Science, Business Informatics, or comparable).
- Minimum of one year of practical experience in data engineering or data science through internships and working-student positions.
- Strong passion for deriving insights from data, particularly through the development of data visualization and exploratory analytics tools.
- Strong expertise in Python programming.
- Familiarity with Git or similar version control systems.
- Ability to work independently, take ownership, and deliver high-quality results, while thriving in a multicultural, collaborative team environment.
- Strong written and verbal communication skills in English.
- Interest in, or initial exposure to, the insurance industry is an advantage.
- Experience with or interest in AI-supported guidance and analytics solutions is a plus.
Benefits
- You will have business impact and see the results of your projects in markets across the world.
- You enjoy Allianz Group benefits while working in a start-up culture with great flexibility in working style.
- Freedom to shape your working environment, a very flat hierarchy, and fast decision-making processes.
- You can balance your work and other commitments with flexible working hours.
- Chance to regularly work from home.
- You work in a fun team of highly motivated colleagues who support each other and celebrate successes as a team.
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data engineeringdata sciencedata visualizationexploratory analyticsPythondata pipelinesAI-assisted software development
Soft skills
independenceownershiphigh-quality resultscollaborationcommunication