Working Student – Data Engineering
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Job Description
Working Student building Python and SQL data pipelines for AgentixLake’s cloud data and AI engineering projects. Supporting data quality, lakehouse platforms, testing, and monitoring.
Responsibilities:
- 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
Requirements:
- 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
Benefits:
- 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
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