Data Quality Engineer
Posted 2 weeks ago by Tria Recruitment
£525 Per day
Inside
Onsite
Southampton, Hampshire, UK
Summary: The Data Quality Engineer will be integral to the early stages of a multi-year Enterprise Data Programme, focusing on the implementation of Adobe CDP and Salesforce CRM. This role involves driving improvements in data quality, governance, and integrity, ensuring that data effectively supports key business decisions. The position is a 6-month initial contract based in Southampton, requiring two days a week on-site. The ideal candidate will possess strong data quality tooling experience and effective communication skills with both technical and non-technical teams.
Key Responsibilities:
- Define and implement data quality frameworks, KPIs, and governance models
- Conduct data profiling and root cause analysis to assess quality across systems
- Lead data cleansing, remediation plans, and establish monitoring tools
- Configure and automate data quality tooling (eg IDQ) and dashboards
- Collaborate with business stakeholders to define quality requirements
- Document data quality rules, processes, and lineage; support knowledge transfer
Key Skills:
- Strong data quality tooling experience
- Good understanding of data governance
- Effective communication skills with technical and non-technical teams
Salary (Rate): £525 daily
City: Southampton
Country: UK
Working Arrangements: on-site
IR35 Status: inside IR35
Seniority Level: Mid-Level
Industry: IT
Data Quality Engineer
Data Quality - Enterprise Data Programme - Adobe CDP and Salesforce CRM implementation
6 month initial contract
£500 - £525 p/d Umbrella rate
2 days a week in Southampton
Our client is at the early stages of a multi year Enterprise Data Programme and looking for a Data Quality Engineer to join a forward-thinking data team and drive improvements in data quality, governance, and integrity. You will play a vital role in profiling, assessing, and remediating data issues, ensuring data supports key business decisions.
Key Responsibilities:
- Define and implement data quality frameworks, KPIs, and governance models
- Conduct data profiling and root cause analysis to assess quality across systems
- Lead data cleansing, remediation plans, and establish monitoring tools
- Configure and automate data quality tooling (eg IDQ) and dashboards
- Collaborate with business stakeholders to define quality requirements
- Document data quality rules, processes, and lineage; support knowledge transfer
Deliverables Include:
- Data quality assessments, rules catalogue, issue logs, dashboards
- Framework and policy documents
- Tool configuration scripts and stakeholder workshop outputs
The ideal candidate will have strong data quality tooling experience, a good understanding of data governance, and the ability to communicate effectively with technical and non-technical teams.