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Senior Data Quality Engineer

Unlock employer Dubai, United Arab Emirates 1 hour ago · 04 Sep 2026

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • No Visa Provided

Requirements

  • Experience: Senior
  • Arabic: Preferred

Position

We are seeking a Senior Data Quality Engineer to lead enterprise-wide data quality initiatives, ensuring trusted, accurate, and reliable data for analytics and reporting within a prominent government entity in Dubai. This role requires Arabic-speaking candidates, as it is an Emiratization opportunity and UAE Nationals are encouraged to apply.

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Key Responsibilities:

  • Define and maintain Enterprise Data Quality Frameworks, standards, KPIs, thresholds, dimensions, and controls.
  • Conduct data profiling, data-quality assessments, and source-data analysis.
  • Design and implement automated data-quality checks across various data layers.
  • Develop validation, rejection/quarantine, exception-handling, and remediation rules within data pipelines.
  • Build source-to-target reconciliation controls to monitor data completeness, accuracy, and consistency.
  • Monitor data quality dimensions including accuracy, completeness, validity, consistency, uniqueness, timeliness, and referential integrity.
  • Investigate data-quality issues, conduct root-cause analysis, and drive remediation with technical teams.
  • Translate business rules and historical requirements into technical data-quality controls.
  • Support data governance platforms and maintain traceability between quality rules, business requirements, metadata, data models, and mappings.

Required Skills & Experience:

  • 4+ years of experience in Data Quality, Data Engineering, Data Management, or Data Governance.
  • Strong hands-on experience in Data Profiling, Data Quality Rules, Validation, Reconciliation, Monitoring, and Remediation.
  • Advanced SQL skills with practical experience in Python, PySpark, Spark, or similar technologies.
  • Strong understanding of data modeling, business/surrogate keys, normalization, referential integrity, and Slowly Changing Dimensions (SCD).
  • Experience with Cloud Data Platforms and Lakehouse/Medallion Architecture.
  • Strong analytical, problem-solving, documentation, communication, and stakeholder-management skills.

Please Note: Due to the high volume of applications, only shortlisted candidates will be contacted. We appreciate your understanding. If this opportunity excites you and your experience matches the above requirements, we encourage you to apply.

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