Are you a data expert ready to shape the analytical future of a major public healthcare institution? As a Senior Data Engineer, you will become a cornerstone of our central Data Office. You will develop high-end analytical solutions that directly impact the efficiency and quality of healthcare services in Belgium. The Challenge Working within a multi-disciplinary Agile team, you will bridge the gap between raw data and actionable insights. You will be responsible for the end-to-end lifecycle of data solutions, from designing robust data warehouses to implementing advanced Delta Lake environments. Your Impact: Architecture & Development: Design, build, and maintain scalable BI solutions (Data Ingestion, DWH, Data Marts) using Kimball methodology and Microsoft technologies. Modern Data Stack: Leverage the power of Azure Databricks, Python, and Apache Spark to handle complex big data challenges. Quality & Innovation: Conduct prototype reviews, perform troubleshooting, and ensure high-quality technical documentation. Collaboration: Partner with Data Architects, AI specialists, and Project Leaders to deliver pragmatic solutions in a fast-paced Scrum environment. Your Profile We are looking for a tech-savvy professional with a "can-do" attitude, a strong sense of ownership, and the ability to work autonomously. Technical Expertise: At least 5 years of experience as a Data Engineer, with a deep background in the Microsoft BI on-prem stack (SSIS, SSAS, SSRS, T-SQL). Minimum 2 years of hands-on experience with Azure Databricks, Python (Pandas), and Apache Spark. Expert knowledge of Kimball dimensional modeling; experience with Data Vault is a significant plus. Proven experience working in Agile/Scrum environments. Active professional proficiency in English, Dutch, and French is required for this role. Personal Skills: Strong problem-solving skills and a delivery-focused mindset. Team player who is stress-resistant and flexible. Continuous learner with an open-minded approach to new technologies. What's in it for you? A key role within a socially relevant organization undergoing a major digital transformation. The opportunity to work in a high-level Data Office alongside experts in Data Quality, AI, and Architecture. A professional environment that values pragmatic innovation and technical excellence. Long-term stability within a project that has a clear strategic vision.