Data Quality Expert

Jobdev.be; Brussel; Hybride; EUR 70 000 - 100 000; Plein temps

Avantages offerts par ce poste

Flexible working hours

Extensive telework policy

Competitive salary

Hospitalization insurance

Pension plan

Meal vouchers

Eco-vouchers

Mobility budget

Résumé du poste

Smals is seeking a Hybrid Senior Tech in Brussels. The role focuses on validating and improving data quality with a team of data scientists, engineers, and health sector experts using modern technologies. A Master’s degree and 7+ years in large-scale data teams are expected, with fluency in French and Dutch.

Join Smals to contribute to high-value health data solutions and governance. This position offers a hybrid work model, flexible hours, and a competitive salary package, including

Qualifications

• 7+ years of experience in large-scale data teams.
• Experience with data quality or MDM is preferred.
• Master's degree in computer science or equivalent experience.

Responsabilités

• Translate business requirements related to data quality into effective validation rules and control processes.
• Analyze data flows from business and technical perspectives to ensure quality and suitability for use.
• Define, document, and maintain data quality controls, including syntactic and semantic validation rules.
• Conduct data quality assessments using a validation engine, produce quality reports, and coordinate corrective actions.
• Be responsible for the quality, integrity, availability, and lifecycle of reference data.
• Coordinate and support data quality monitoring and improvement activities with Data Owners and Data Stewards.
• Evaluate new data flows and reference datasets, identify quality improvement opportunities and document governance.
• Configure, maintain, and improve data validation platforms and reference data management solutions.
• Collaborate with stakeholders to promote good data quality practices and support governance initiatives.

Connaissances

Azure Databricks SQL

Formation

Master's degree in computer science

Description du poste

Smals

• Brussels

Hybrid Senior Tech

All Tech jobs Jobs in Brussels Hybrid jobs

Experience

7+ years in large-scale data teams, ideally in Data Quality or MDM roles

Education

Master's degree in computer science or equivalent experience.

Languages

Français (courant)

Nederlands (courant)

Essential

Required Skills

• Azure Databricks SQL

Soft Skills

• Pragmatic
• Result-oriented
• Proactive
• Responsible
• Collaborative

About

The Position

Join 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.

The Company

Smals 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.

Your Responsibilities

• Translate business requirements related to data quality into effective validation rules and control processes.


• Analyze and understand data flows from a business and technical perspective to ensure quality and suitability for use.


• Define, document, and maintain data quality controls, including technical (syntactic) and business (semantic) validation rules.


• Conduct data quality assessments using a validation engine, analyze results, produce quality reports, and coordinate corrective actions with Data Owners and Data Stewards.


• Be responsible for the quality, integrity, availability, and lifecycle of reference data.


• Coordinate and support data quality monitoring and improvement activities in collaboration with Business Owners and Data Stewards.


• Evaluate new data flows and reference datasets, identify quality improvement opportunities, and contribute to their documentation and governance.


• Configure, maintain, and continuously improve data validation platforms and reference data management solutions.


• Collaborate with business and technical stakeholders to promote good data quality practices and support data governance initiatives.

Why Join Us?

• Flexible working hours


• Extensive telework policy


• Competitive salary


• Hospitalization insurance


• Pension plan


• Meal vouchers


• Eco-vouchers


• Mobility budget

Salary

To discuss

per year