Data Quality and Master Data Management Expert (Employed or freelance)

EngiFlex; Brussel; Hybrid; EUR 80,000 - 110,000; Full time

Benefits offered by this job

Company car

Job summary

EngiFlex BV seeks a Data Quality and MDM expert to ensure data quality, consistency and compliance across the Belgian healthcare and social security data ecosystem.

You will own reference data assets, orchestrate validation rules, and collaborate with data owners and stewards to remediate issues. Teleworking is possible three days weekly in a hybrid setup.

Qualifications

• Master's degree or equivalent in Computer Science or related field.
• 7+ years in large data teams.
• 5+ years in a Data Quality or MDM role.
• Hands-on SQL and Azure Databricks.
• Experience as data engineer or data functional analyst is a plus.

Responsibilities

• Translate business data quality requirements into validation rules and monitoring.
• Analyse data flows for quality and fitness for use.
• Define and maintain data quality controls and validation rules.
• Perform data quality assessments, produce reports and coordinate remediation.
• Own and monitor reference data quality, integrity and lifecycle.
• Coordinate master data quality monitoring with Business Owners and Data Stewards.
• Assess new data flows and reference datasets for quality improvements.
• Configure and improve data validation platforms and reference data management.
• Collaborate with stakeholders to promote data quality and data governance.

Skills

SQL

Azure Databricks

Data Quality

MDM

Data Governance

Education

Master's degree in Computer Science or equivalent

Tools

Azure Databricks

SQL Server

SSIS

SSAS

Power BI

Job description

Tasks and responsibilities

This 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.

Large 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.

The technology landscape includes Azure Cloud, Databricks, SQL Server, SSIS, SSAS and Power BI.

• Translate business data quality requirements into effective validation rules and monitoring processes.
• Analyse data flows from both business and technical perspectives to assess data quality and fitness for use.
• Define, document and maintain data quality controls, including technical, or syntactic, and business, or semantic, validation rules.
• Execute data quality assessments with a validation engine, analyse the results, produce quality reports and coordinate remediation actions with Data Owners and Data Stewards.
• Own, maintain and monitor the quality, integrity, availability and lifecycle of reference data assets used across the organisation and its partner ecosystem.
• Coordinate and support master data quality monitoring and improvement activities with Business Owners and Data Stewards, ensuring that data issues are identified, tracked and remediated.
• Assess new data flows and reference datasets, identify opportunities to improve quality and contribute to their documentation and governance.
• Configure, maintain and continuously improve the data validation platform and reference data management solutions.
• Collaborate with business and technical stakeholders to promote data quality practices and support data governance initiatives.

Flexible 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.

Technical Skills

• Master's degree in Computer Science or equivalent experience.
• At least 7 years of practical and professional experience in large data teams.
• At least 5 years of practical and professional experience in a Data Quality or MDM role.
• Hands-on experience with SQL and Azure Databricks.
• Prior experience as a data engineer or data functional analyst is an advantage.

Your profile

Relevant experience:

• Affinity with Data Quality and good knowledge of Master Data Management.
• Ability to translate business needs into technical data solutions.
• A proactive attitude, with a strong sense of ownership and autonomy.
• Strong problem-solving skills, a pragmatic approach and a focus on delivery.
• Ability to work collaboratively as part of a transversal organisation.
• Good written and verbal communication skills.
• Professional command of both national languages.
• Willingness to learn and an open-minded attitude.

Languages

• Dutch
• English
• French

The stated language profile is Dutch or French as a mother tongue, with passive knowledge of the second national language.

Job Description Summary

The 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.

Level of expertise

• Data Quality Management: expert, 10 years
• Master Data and Reference Data Management: confirmed, 7 years
• Data Analysis and Data Validation: expert, 10 years
• Data Governance and Data Stewardship: beginner, 3 years
• Azure Databricks: beginner, 3 years
• SQL: beginner, 3 years

Offer

You 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.

(Freelance is also possible)