Working Student – Data Engineering

• Build Python and SQL pipelines that ingest, transform, and validate data from APIs, databases, and files
• Develop data models and transformations for analytics and AI applications
• Add data quality checks, automated tests, and monitoring
• Investigate pipeline failures and improve logging and troubleshooting
• Contribute to cloud data platforms and lakehouse projects
• Document work and collaborate through Git, pull requests, and code reviews
• Take ownership of real tasks from day one

• Current enrollment in computer science, data science, business informatics, mathematics, or a related degree
• Hands-on practical expertise in Python, databases, and data pipelines
• Thoughtful approach to debugging and willingness to ask questions
• Good English communication skills
• Familiarity with AWS, dbt, Airflow, Docker, Snowflake, Databricks, and Apache Iceberg
• 15–20 hours per week availability
• CV, field of study, expected graduation date, and weekly availability required with application

• 20 days of annual leave
• Remote work within Germany, with hours coordinated around your studies
• Exposure to modern cloud platforms, data architecture, and the foundations of production AI
• Small team where you can contribute ideas and understand the impact of your work