Data Engineer Working Student (m/f/d)

• You will support the development of databases and data integration processes
• You will be involved in the development of data models and data pipelines for modern Data Lakes, Data Warehouses or Lakehouses
• You will support the documentation and structuring of data platforms and processes
• You will work on the development of interactive dashboards and reports, e.g., in the area of key performance indicators and ESG
• You will support the application of data analysis methods and tools in project contexts
• You will support users in the use and maintenance of data platforms and analytics solutions

• Enrolled student in an IT-related field, e.g., (Business) Informatics, Software Development, Data Science, Data Engineering, or related disciplines
• Good knowledge of the programming languages Python and SQL
• Experience in data visualization & presentation with Power BI / MS Fabric
• First experiences in Databricks are an advantage
• Basic understanding of data modeling methods and data integration processes (ETL / ELT)
• Independent and structured way of working, teamwork and strong communication skills
• You have very good German and English skills (min. C1 in both languages)
• You can work on-site at our office in Cologne or Munich at least 50% of the time

• Supportive Team Culture: Team cohesion is important to us - we support each other and maintain a healthy office culture. Our event team plans regular after-work events and ensures exchange outside of work.
• Quick Assumption of Responsibility: From day 1, you will take on exciting tasks with your own responsibility - whether on your project or when contributing to internal tasks - you shape things!
• Clear Career Opportunities: With us, you will find an environment that promotes, challenges, and develops you. We have clearly defined career opportunities and transparent requirements management for every level.
• Creative Workplace: We give you the freedom and time to develop creative solutions and offer you the best and most modern hardware for it (Apple or Windows).
• Attractive Vacation Policy: Work remotely and flexibly adapt your working hours to your studies.

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