YOUR TASKSYou support the design and development of Databricks-native data platforms and lakehouse architectures for internal projects and client engagements.
You contribute to implementing medallion architectures (Bronze, Silver, and Gold), including Auto Loader-based data ingestion.
You support the development of data governance concepts using tools such as Unity Catalog, including access control and permission models.
You help automate deployments using Databricks Asset Bundles (DAB) and CI/CD pipelines.
You contribute to developing data quality frameworks and monitoring solutions for production data platforms.
You support the technical documentation of platform architectures and internal best practices.
You contribute to internal tooling and demonstrator projects, actively helping shape and strengthen our Data Platform practice.
YOUR PROFILYou are currently enrolled in an IT-related degree programme, such as Computer Science, Business Information Systems, Data Engineering, Data Science, or a related discipline.
You have good knowledge of Python and SQL.
Initial experience with Databricks and/or cloud data platforms such as Azure, AWS, or GCP is an advantage.
You are interested in topics such as data lakehouses, data governance, Infrastructure as Code, and CI/CD.
You have a basic understanding of data modelling and data integration processes (ETL/ELT).
Experience with Git and version control is desirable.
You work independently and in a structured manner and demonstrate strong teamwork and communication.
Our event team organizes regular after-work events to encourage exchange and connection beyond the workplace.
Early Ownership & Responsibility: From day one, you will t.