Data Quality Expert
Il y a 5 heures
Arrondissement of BrusselsCapital, Brussels, Belgique
Smals
Temps plein
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pp7+ years in large-scale data teams, ideally in Data Quality or MDM roles /p /brh3Education /h3 /brpMaster's degree in computer science or equivalent experience. /p /brh3Languages /h3 /brh3Required Skills /h3 /brh3Soft Skills /h3 /brpPragmatic Result-oriented Proactive Responsible Collaborative /p /brh3About /h3 /brh3The Position /h3 /brpJoin the Data Office to validate and improve data quality, ensuring accuracy and availability. Work with a team of data scientists, engineers, and health sector experts using modern technologies. /p /brh3The Company /h3 /brpSmals transforms Belgian health data into high-value information to support health policy decisions. Our mission is to provide impactful IT solutions for society. We are committed to equality and fair pay. /p /brh3Your Responsibilities /h3 /brul /brliTranslate business requirements related to data quality into effective validation rules and control processes. /li /brliAnalyze and understand data flows from a business and technical perspective to ensure quality and suitability for use. /li /brliDefine, document, and maintain data quality controls, including technical (syntactic) and business (semantic) validation rules. /li /brliConduct data quality assessments using a validation engine, analyze results, produce quality reports, and coordinate corrective actions with Data Owners and Data Stewards. /li /brliBe responsible for the quality, integrity, availability, and lifecycle of reference data. /li /brliCoordinate and support data quality monitoring and improvement activities in collaboration with Business Owners and Data Stewards. /li /brliEvaluate new data flows and reference datasets, identify quality improvement opportunities, and contribute to their documentation and governance. /li /brliConfigure, maintain, and continuously improve data validation platforms and reference data management solutions. /li /brliCollaborate with business and technical stakeholders to promote good data quality practices and support data governance initiatives. /li /br /ul","IsExpired":false} /p