Data Quality Expert

• Translate business data quality needs into clear validation rules and monitoring processes.
• Analyze data flows from both business and technical perspectives to ensure quality and fitness for use.
• Define, document, and maintain technical and business data quality controls.
• Execute data quality assessments, review results, produce quality reports, and coordinate remediation with data owners and data stewards.
• Own and monitor the quality, integrity, availability, and lifecycle of reference data assets.
• Support master data quality monitoring and improvement activities in collaboration with business owners and data stewards.
• Assess new data flows and reference datasets, identify improvement opportunities, and contribute to documentation and governance.
• Configure, maintain, and continuously improve data validation and reference data management solutions.
• Work closely with business and technical stakeholders to promote data quality best practices and support data governance initiatives.

What they ask

• Master’s degree in Computer Science, or equivalent experience.
• At least 7 years of practical professional experience in large data teams.
• At least 5 years of practical professional experience in a Data Quality or MDM role.
• Hands-on experience with SQL and Databricks.
• Previous experience as a data engineer or data functional analyst is considered a plus.
• Strong exposure to data quality management, data analysis, and data validation.
• Knowledge of Master Data Management and reference data management.
• Experience with data governance and data stewardship is an asset.
• Affinity with validating large-scale data flows and supporting data quality monitoring activities.

• You are open-minded, eager to learn, and comfortable taking ownership of your work.
• You bring a pragmatic, solution-oriented mindset and a strong focus on delivery.
• You work well in a collaborative, transversal organization and enjoy partnering with multiple stakeholders.
• You have strong problem-solving skills and can translate business needs into technical data solutions.
• You communicate clearly in speaking, reading, and writing.
• You have a good understanding of data quality and master data principles.

• Languages: fluent Dutch, fluent English, and fluent French.
• Additional language requirement: mother tongue Dutch or French, with passive knowledge of the second national language.