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# data quality consultant

- **Company:** Datashift
- **Location:** Gent, Belgium
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Information Engineering, Data Governance, SQL Databases, Simple Object Database Access, Great Expectations (Foster Youth College-readiness and Support Program), Collibra, Data Management, Data Pipelines
- **Published:** November 12, 2026
- **Apply:** https://careers.datashift.eu/o/senior-data-quality-consultant

## About the Role

Do you have 5 to 8+ years of experience in supporting data (quality) initiatives And acting as a trusted data advisor at our clients? And the prospect of helping to grow a company that believes in together creating an impact with qualitative data at our customers sounds good?, * 5-8+ years of experience in data-related roles (data quality, data governance, data engineering, data management)

 * Proven experience leading data quality initiatives in client-facing environments

 * Experience working across business and technical domains

 * Experience with data quality tooling (e.g. Collibra, Soda, Great Expectations) and familiarity with data governance tooling

 * Ability to guide implementation without needing to be the primary developer

 * Strong stakeholder management skills, strong communication skills

 * Able to balance strategy with execution.

## Description

We are looking for a Senior data quality consultant who can lead data quality initiatives end-to-end, from strategy through adoption, and act as a trusted advisor to our clients. You will play a key role in shaping data quality strategies, driving implementation and ensuring adoption across both business and technical teams at our clients.

This role requires a strong balance between hands-on data expertise, stakeholder leadership and consultancy maturity. You will guide clients in embedding data quality into their data platforms, processes and organizational way of working.

Client delivery:

 * Lead data quality engagements from assessment to implementation and adoption

 * Act as the main point of contact for clients on data quality topics

 * Translate business challenges into structured data quality initiatives

 * Manage scope, priorities and delivery in collaboration with client stakeholders

 * Align with the client on architecture and support them in decisions on needed infrastructure
Implementation

 * Design and oversee implementation of data quality rules, controls and monitoring

 * Ensure data quality is embedded in data pipelines and lifecycle processes

 * Provide hands-on support where needed (SQL, tooling setup)
Stakeholder management & change

 * Engage with senior business and IT stakeholders to drive alignment and adoption