Working Student - Data & AI Engineering (f/m/d)

Your area of work:

Our team is driving the transformation towards a modern, data-driven organization by building scalable data products, enabling advanced analytics, and implementing a Data Mesh operating model.
We are implementing a robust and future proof DataMesh on GCP Cloud technology and analytics capability on Databricks solutions that empowers business users with high-quality, accessible data.

As an working student (f/m/d) you will support the team in the X7 – Clearing DEV department significantly in Data Mesh implementation and AI solutioning.

Your Responsibilities:

• You will support the implementation and evolution of our Data Mesh architecture and data platform strategy
• You will assist in the design, development, and maintenance of data pipelines using Databricks and cloud-native technologies
• You will help integrate, transform, and validate data from multiple source systems
• You will support the development of scalable and reusable data products for business domains
• You will perform data analysis and contribute to reporting and dashboarding initiatives
• In addition, you will assist in monitoring and improving data quality, data governance, and metadata management processes and supporting on AI use cases
• Furthermoren, you will create and maintain technical documentation and process documentation and collaborate closely with Data Engineers, Data Architects, Product Owners, and Analytics teams in an agile environment

Your profile:

• You are currently enrolled in a Bachelor's or Master's program in Computer Science, Data Science, Information Systems, Mathematics, Statistics, Engineering, or a related field
• You have strong interest in Data Engineering, Analytics, Cloud Technologies, AI and Modern Data Architectures
• You have basic knowledge of SQL and relational databases
• You have first experience with Python or another programming language
• You have strong analytical and problem-solving skills.
• You have ability to work independently and collaboratively in an international team environment
• You are fluent in written and spoken English

Start date: 15/10/2026