Data Engineer Working Student (m/w/d)

• You support the development of databases and data integration processes
• You contribute to the design and implementation of data models and data pipelines for modern data lakes, data warehouses, or lakehouses
• You assist in documenting and structuring data platforms and related processes
• You participate in the development of interactive dashboards and reports, for example in the area of performance metrics and ESG
• You support the application of data analytics methods and tools within project contexts
• You assist users in the utilization and maintenance of data platforms and analytics solutions

YOUR PROFIL

• You are currently enrolled as a student in an IT-related field, such as (Business) Informatics, Software Engineering, Data Science, Data Engineering, or a related discipline
• You have solid knowledge of the programming languages Python and SQL
• You have experience in data visualization and presentation using Power BI and/or Microsoft Fabric.
• Initial experience with Databricks is considered an advantage
• You have a basic understanding of data modeling methods and data integration processes (ETL / ELT)
• You work independently and in a structured manner and demonstrate strong teamwork and communication skills
• You possess excellent German and English language skills (minimum C1 level in both languages)
• You are able to work on-site at least 50% of the time in our office in Cologne or Munich
• From day one, you will take on exciting tasks with real responsibility – whether on your project or by contributing to internal initiatives. You actively help shape our organization.
• Clear Career Development Paths: You will find an environment that supports, challenges, and advances your professional growth. We offer clearly defined career paths and transparent requirements for each level.
• Creative Work Environment: We give you the freedom and time to develop creative solutions and provide the best and most modern hardware (Apple or Windows) to support your work.
• Flexible Working & Vacation Policy: Work remotely and adjust your working hours flexibly to fit around your studies.

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