Data Quality Lead: Client-Ready QA & Data Modeling

Halian | Managed Services, Recruitment Agency & Contract Staffing

Abu Dhabi

On-site

AED 250,000 - 460,000

Full time

3 days ago
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Job summary

Halian | Managed Services, Recruitment Agency & Contract Staffing seeks a Data Quality Lead to own end-to-end QA and delivery assurance for data quality, readiness, and modelling deliverables before client submission. The role acts as the final internal quality gate across data artefacts and governance processes.

The ideal candidate has strong expertise in Data Quality, Data Modelling, Data Governance, and QA, with the ability to independently review complex deliverables and identify

Qualifications

  • Strong experience in data quality and governance.
  • Hands-on understanding of Conceptual, Logical, and Physical data models.
  • Proficient in SQL for data validation and traceability.
  • Ability to review complex deliverables and identify cross-functional inconsistencies.
  • Experience in consulting or client-facing environments preferred.

Responsibilities

  • QA client submission packages including data profiling and CDEs.
  • QA data modelling deliverables across conceptual, logical, physical models.
  • Validate model components: entities, keys, relationships, and naming conventions.
  • Reconcile cross-deliverables for scope, rules, and DQ scores.
  • Maintain QA checklist and issue register, assign severity.

Skills

Data Quality Assurance
Data Governance
Data Modelling
SQL Validation
Stakeholder Management
Analytical Thinking
Documentation
Independence

Job description

Halian | Managed Services, Recruitment Agency & Contract Staffing seeks a Data Quality Lead to own end-to-end QA and delivery assurance for data quality, readiness, and modelling deliverables before client submission. The role acts as the final internal quality gate across data artefacts and governance processes.

The ideal candidate has strong expertise in Data Quality, Data Modelling, Data Governance, and QA, with the ability to independently review complex deliverables and identify

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