Data Quality and MDM Expert

h3What you will do /h3pYou will join the Data Office of a Belgian public-sector organisation that plays a key role in the country's healthcare and social security system. The team brings together data engineers, reporting experts, functional analysts, architects, project managers, data quality specialists and AI experts to transform healthcare data into valuable insights supporting policy, healthcare and medical control decisions. /ppLarge volumes of healthcare data are received from multiple organisations and must be validated, monitored and prepared to ensure their quality before integration into central data platforms. Your role includes maintaining and improving reference data used across the organisation and its partners to ensure accuracy, consistency and availability. /ppYour responsibilities include: /pulliTranslating business data quality requirements into effective data validation rules and monitoring processes /liliAnalysing and understanding data flows from both business and technical perspectives to ensure data quality and fitness for use /liliDefining, documenting and maintaining data quality controls, including technical (syntactic) and business (semantic) validation rules /liliExecuting data quality assessments with a validation engine, analysing results, producing quality reports and coordinating remediation actions with Data Owners and Data Stewards /liliOwning, maintaining and monitoring the quality, integrity, availability and lifecycle of reference data assets used across the organisation and its partner ecosystem /liliCoordinating and supporting master data quality monitoring and improvement activities in collaboration with Business Owners and Data Stewards, ensuring data issues are identified, tracked and remediated /liliAssessing new data flows and reference datasets, identifying quality improvement opportunities and contributing to their documentation and governance /liliConfiguring, maintaining and continuously improving the data validation platform and reference data management solutions /liliCollaborating with business and technical stakeholders to promote data quality best practices and support data governance initiatives /li /ulh3What we are looking for /h3ulliMaster degree in Computer Science or equivalent through experience /liliMinimum 7 years of practical and professional experience in large data teams /liliMinimum 5 years of practical and professional experience in a Data Quality or MDM role /liliHands-on experience with SQL and Databricks /liliAffinity with Data Quality and good knowledge of MDM (Master Data Management) /liliAbility to translate business needs into technical data solutions /liliCan-do attitude with strong sense of ownership and autonomy /liliStrong problem-solving skills, pragmatic approach and delivery focus /liliTeam player with an ability to work in a collaborative spirit within a transversal organisation /liliGood communication skills (speaking, reading, writing) /liliProfessional mastery of both Dutch and French, with active knowledge of English /liliPrior experience as data engineer or data functional analyst is a plus /li /ulh3The setting /h3pThis assignment runs from mid-November 2026 to the end of December 2026. The work is hybrid, with a minimum of two days per week on site in Brussels. The team works with modern technologies including Azure Cloud, Databricks, SQL Server, SSIS, SSAS and Power BI. /ppYou can join us for this assignment as a freelancer or as an employee of HumanInTech. Same role, same team. If you join as an employee, your employment continues beyond this assignment. When it ends, we’ll work together to find your next assignment. /ppbLocation: /b Brussels, hybrid /ppbWork address: /b Belgium /ppbEmployer / contracting party: /b HumanInTech /ppbApplications close (Brussels time): /b November 6, 2026 at 1:00 AM /ppbEngagement: /b Freelance or employed by HumanInTech /ppbWorking hours: /b Full-time /ppbExperience: /b 6-10 years or more /ppbEducation: /b Master's or more /ppbPublished: /b October 2026 /p