Data Quality and Master Data Management Expert

h3Tasks and responsibilities /h3 pThis role is part of a data team supporting Belgium's healthcare and social security system. The team includes data engineers, reporting experts, functional data analysts, architects, project managers, data quality specialists and AI experts. Together, they transform healthcare data into insights that support policy, healthcare and medical control decisions. /p pLarge volumes of data are received from multiple organisations. The data must be validated, monitored and prepared before integration into central data platforms. The role also covers reference data used by the organisation and its partners, with a focus on accuracy, consistency and availability. /p pThe technology landscape includes Azure Cloud, Databricks, SQL Server, SSIS, SSAS and Power BI. /p ul liTranslate business data quality requirements into effective validation rules and monitoring processes. /li liAnalyse data flows from both business and technical perspectives to assess data quality and fitness for use. /li liDefine, document and maintain data quality controls, including technical, or syntactic, and business, or semantic, validation rules. /li liExecute data quality assessments with a validation engine, analyse the results, produce quality reports and coordinate remediation actions with Data Owners and Data Stewards. /li liOwn, maintain and monitor the quality, integrity, availability and lifecycle of reference data assets used across the organisation and its partner ecosystem. /li liCoordinate and support master data quality monitoring and improvement activities with Business Owners and Data Stewards, ensuring that data issues are identified, tracked and remediated. /li liAssess new data flows and reference datasets, identify opportunities to improve quality and contribute to their documentation and governance. /li liConfigure, maintain and continuously improve the data validation platform and reference data management solutions. /li liCollaborate with business and technical stakeholders to promote data quality practices and support data governance initiatives. /li /ul pFlexible

working hours
are organised within a 70-hour weekly time window, from 7:30 a.m. to 8 p.m., with fixed slots between 9 a.m. and 12 p.m. and between 1 p.m. and 4 p.m. Teleworking is possible three days per week. /p h3Technical Skills /h3 ul liMaster's degree in Computer Science or equivalent experience. /li liAt least 7 years of practical and professional experience in large data teams. /li liAt least 5 years of practical and professional experience in a Data Quality or MDM role. /li liHands-on experience with SQL and Azure Databricks. /li liPrior experience as a data engineer or data functional analyst is an advantage. /li /ul h3Your profile /h3 pbRelevant

experience:
/b Expert Data Management Analyst. /p ul liAffinity with Data Quality and good knowledge of Master Data Management. /li liAbility to translate business needs into technical data solutions. /li liA proactive attitude, with a strong sense of ownership and autonomy. /li liStrong problem-solving skills, a pragmatic approach and a focus on delivery. /li liAbility to work collaboratively as part of a transversal organisation. /li liGood written and verbal communication skills. /li liProfessional command of both national languages. /li liWillingness to learn and an open-minded attitude. /li /ul h3Languages /h3 ul liDutch /li liEnglish /li liFrench /li /ul pThe stated language profile is Dutch or French as a mother tongue, with passive knowledge of the second national language. /p h3Job description summary /h3 pThe Data Quality and MDM Expert ensures the quality, consistency and compliance of data by defining, executing and monitoring data quality controls. The role also involves managing and maintaining reference and master data to ensure its reliability, availability and integrity across the organisation. /p h3Level of expertise /h3 ul libData Quality Management: /b expert, 10 years /li libMaster Data and Reference Data Management: /b confirmed, 7 years /li libData Analysis and Data Validation: /b expert, 10 years /li libData Governance and Data Stewardship: /b beginner, 3 years /li libAzure Databricks: /b beginner, 3 years /li libSQL: /b beginner, 3 years /li /ul h3Offer /h3 pYou will be part of a growing Belgian SME where initiative and personal development are encouraged. We will provide you with an enjoyable work environment with fun colleagues. We will work out a career plan with you, with attention and a budget for extra education/certification. You can count on an attractive salary, supplemented with extra-legal benefits, including a company car.br/(Freelance is also possible) /p