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# Data Quality Consultant

- **Company:** Datashift
- **Location:** Mechelen, Belgium
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Databases, Data Architecture, Information Engineering, Data Governance, Database Design, R (Programming Language), Groovy, Information Management, Python (Programming Language), Metadata Repositories, SQL Databases, Data Streaming, Technical Data Management Systems, Scripting, Great Expectations (Foster Youth College-readiness and Support Program), Data Lineage, Collibra, Data Analytics
- **Published:** November 12, 2026
- **Apply:** https://careers.datashift.eu/o/data-quality-consultant

## About the Role

Do you have 3 to 5 years of experience of which at least 2 to 3 years in the field of data analysis and/or data quality? And the prospect of helping to grow a company that believes in together creating an impact with Data at our customers sounds good?, * Bachelor's or master's degree in a relevant field (engineering, IT, information management, etc.) or equivalent in experience.

 * 2 to 5 years of experience in consulting or service-oriented environments, and at least 2 years of experience in data analysis.
 * Experience with data quality tooling e.g., Collibra DQ, Soda, Great Expectations, Informatica CDQ, etc..
 * Knowledge of data landscapes within an organization, understanding of end-to-end data flows (source to consumer), data architecture, and data engineering / -science principles.
 * Affinity with use cases such as Business Glossary, Data Catalog, Data Lineage or Reporting Governance is a plus.
 * Proven success in contributing to a team-oriented environment.
 * Excellent leadership, communication (written and oral) and interpersonal skills.
 * Fluent in Dutch and/or French and English.

Skillset

 * Advanced analytical and problem-solving skills.
 * Proficiency in SQL supplemented with at least one other scripting language (e.g., Python, Groovy, R, etc.)
 * Experience with Data Quality tooling.
 * Experience with data governance solutions (Collibra, Datahub, Purview, etc.) is a plus.

## Description

* Support clients in the execution of activities of the data quality cycle: data analysis, data quality assessment, impact assessment, etc. Allowing them to independently monitor, prevent and remediate emerging critical data quality issues.
 * Evaluate data from data sources to identify and interpret trends. Identify data quality issues, determine business impact, find out the root cause, collaborate to resolve, and make recommendations for long-term solutions.
 * Gather data from data sources to identify and interpret trends, optimize its efficiency and quality by analyzing and cleansing it, as well as resolving data quality issues.
 * Run data queries to identify coding issues and data exceptions.
 * Support clients in their journey towards becoming data-driven by bridging the gap between business and technology and advising them on best practices, tooling, implementation processes, ...
 * Implement data quality principles, processes, and standards and embed them into the clients' daily operating rhythm to improve trust in both business and technical data domains.
 * Collaborate with business and database/application developers to improve processes, system- and database designs.
 * Follow-up on the latest developments and trends in data quality analysis and tooling.