Data Quality Engineer - Python & SQL|Power BI|Mechelen PT

Pauwels Consulting; Mechelen; On-site; EUR 40,000 - 56,000; Part time

Job summary

Pauwels Consulting seeks a Data Quality Engineer in Mechelen to design and maintain data quality pipelines, translate requirements into rules, and visualize quality issues for data stewards. You will work with ICT and governance to define standards and expand the data quality program.

The role focuses on bridging development with business needs, developing business context around data assets, and contributing to scalable, organization-wide improvements.

Qualifications

• 1+ years of experience in data development using Python and SQL.
• 1+ years of experience with relevant data technologies or similar engineering frameworks.
• Experience in data visualization using Power BI.
• Bachelor’s or Master’s degree in a technical or engineering field.
• Native Dutch speaker.

Responsibilities

• Translate functional data quality requirements into technical rules and monitoring processes.
• Design, develop, and maintain data quality pipelines within a specialized engineering team.
• Visualize data errors and quality issues to assist data stewards and producers.
• Collaborate with ICT, data governance, and business units to define quality standards.
• Develop deep business knowledge of data assets to ensure solutions align with needs.
• Contribute to scaling and improving the organization-wide data quality program.

Skills

Python

SQL

Power BI

Dutch

Education

Bachelor’s or Master in technical/engineering

Tools

Azure

Databricks

Data Quality Frameworks

Job description

Pauwels Consulting seeks a Data Quality Engineer in Mechelen to design and maintain data quality pipelines, translate requirements into rules, and visualize quality issues for data stewards. You will work with ICT and governance to define standards and expand the data quality program.

The role focuses on bridging development with business needs, developing business context around data assets, and contributing to scalable, organization-wide improvements.