About this role
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