£525 Per day
Inside
Onsite
Southampton
Summary: The Data Quality Engineer will be integral to a multi-year Enterprise Data Programme focused on Adobe CDP and Salesforce CRM implementation. This role involves driving improvements in data quality, governance, and integrity within a forward-thinking data team. The engineer will be responsible for profiling, assessing, and remediating data issues to support key business decisions. The position is a 6-month initial contract based in Southampton, requiring two days a week on-site work.
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 (e.g. 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: United Kingdom
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 (e.g. 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.
