Data Quality and MDM Expert (K10229)

Context: The NIHDI (RIZIV-INAMI) plays a key role in Belgium’s healthcare and social security system. The Data Office brings together data engineers, reporting experts, data functional analysts, architects, project managers, data quality specialists, and AI experts to transform Belgian healthcare data into valuable insights supporting policy, healthcare, and medical control decisions. The team works with modern technologies including Azure Cloud, Databricks, SQL Server, SSIS, SSAS, and Power BI.

Large volumes of healthcare data are received from multiple organizations and must be validated, monitored, and prepared to ensure their quality before integration into NIHDI’s central data platforms. The role also includes maintaining and improving reference data used across NIHDI and its partners to ensure its accuracy, consistency, and availability.

Roles & Responsibilities: Translate business data quality requirements into effective data validation rules and monitoring processes. Analyse and understand data flows from both business and technical perspectives to ensure data quality and fitness for use. Define, document, and maintain data quality controls, including technical (syntactic) and business (semantic) validation rules. Execute data quality assessments with a validation engine, analyse results, produce quality reports, and coordinate remediation actions with Data Owners and Data Stewards.

Own, maintain, and monitor the quality, integrity, availability, and lifecycle of reference data assets used across NIHDI and its partner ecosystem. Coordinate and support master data quality monitoring and improvement activities in collaboration with Business Owners and Data Stewards, ensuring data issues are identified, tracked, and remediated. Assess new data flows and reference datasets, identify quality improvement opportunities, and contribute to their documentation and governance.

Configure, maintain, and continuously improve the data validation platform and reference data management solutions. Collaborate with business and technical stakeholders to promote data quality best practices and support data governance initiatives. Like to learn and open-minded.

What we offer: An interesting job in the realization of SDO (ICT) and Data services that has an impact on society, with many advantages: a good work-life balance, flexible working hours within the 70-hour week (7.30 a.m. to 8 p.m. with fixed slots between 9 a.m. and 12 p.m. and 1 p.m. and 4 p.m.), possibility of teleworking (3 days/week), workspaces organized according to activities, easy accessible.

Technical Skills: Master degree in Computer Science or equivalent through experience. Minimum 7 years of practical and professional experience in large data teams. Minimum 5 years of practical and professional experience in a Data Quality or MDM role. Hands-on experience with SQL and DataBricks. Prior experience as data engineer or data functional analyst is a plus.

Profile: Affinity with Data Quality and good knowledge of MDM (Master Data Management). Ability to translate business needs into technical data solutions. Can-Do attitude with strong sense of ownership and autonomy. Strong problem-solving, pragmatic approach and delivery focus. Team player with an ability to work in a collaborative spirit within a transversal organization. Good communication skills (speaking, reading, writing). Mastering both national languages professionally.

Job description summary: The Data Quality & MDM Expert ensures the quality, consistency, and compliance of data by defining, executing, and monitoring data quality controls. He/she also manage and maintain reference and master data (MDM) to ensure their reliability, availability, and integrity across the organization.

Keywords: Data Quality, MDM (Master Data Management), Reference Data, Data Validation, Data Governance, Data Stewardship, SQL & Databricks, Data Analysis, Data Quality Monitoring.

Level of expertise: Data Quality Management: expert – 10 years. Master Data & Reference Data Management: Confirmed – 7 years. Data Analysis & Data Validation: expert – 10 years. Data Governance & Data Stewardship: Beginner – 3 years.

Azure Databricks: Beginner – 3 years.

SQL: Beginner – 3 years.

Mother tongue: Dutch or French, with passive knowledge of the second national language.