Senior Data Quality Engineer

Sundus; Dubai; On-site; AED 320,000 - 520,000; Full time

Job summary

Sundus is seeking a Senior Data Quality Engineer for an Emiratization opportunity with a leading Government entity in Dubai. You will drive enterprise-wide data quality, profiling, and governance to ensure trusted analytics.

The role requires hands-on skills in SQL, Python/PySpark, cloud platforms, and data reconciliation, with emphasis on quality controls, metadata, and MDM integration; Arabic-speaking candidates strongly preferred.

Qualifications

• 4+ years of experience in Data Quality, Data Engineering, Data Management, or Data Governance.
• Strong hands-on experience in Data Profiling, Data Quality Rules, Data Validation, Reconciliation, Monitoring, and Remediation.
• Advanced SQL skills with practical experience in Python, PySpark, Spark, or equivalent technologies.
• Strong understanding of relational and dimensional data modelling, 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.

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 ingestion, transformation, curated, and analytical layers.
• Develop validation, rejection/quarantine, exception-handling, and remediation rules within data pipelines.
• Build source-to-target reconciliation controls and monitor data completeness, accuracy, and consistency.
• Monitor DQ dimensions including accuracy, completeness, validity, consistency, uniqueness, timeliness, and referential integrity.
• Investigate data-quality issues, conduct root-cause analysis, and drive remediation with Data Engineers, Data Owners, and technical teams.
• Translate business rules, keys, reference data, constraints, and historical requirements into technical data-quality controls.
• Support Microsoft Purview and MDM platforms such as Profisee, including Critical Data Elements (CDEs), duplicate detection, master/reference data validation, and golden-record quality.
• Maintain traceability between DQ rules, business requirements, metadata, data models, and source-to-target mappings.

Skills

Data Quality

Data Engineering

Data Management

Data Governance

SQL

Python/PySpark

Data Profiling

Data Validation

Data Reconciliation

Dimensional Modelling

Cloud Data Platforms

Lakehouse/Medallion Architecture

Tools

SQL

Python/PySpark

Job description

Senior Data Quality Engineer – Emiratization

Location: Dubai, UAE

Employment Type: Full-Time

Industry: Government / Public Sector

This is an Emiratization opportunity. UAE Nationals are encouraged to apply. Arabic-speaking candidates are strongly preferred.

About the Role

We are looking for a Senior Data Quality Engineer to drive enterprise-wide data quality and ensure trusted, accurate, and reliable data for analytics and reporting with a leading Government entity in Dubai.

The ideal candidate will have strong hands‑on experience in Data Quality Engineering, Data Profiling, SQL, Python/PySpark, Data Reconciliation, Automated Data Quality Controls, Cloud Data Platforms, Lakehouse/Medallion Architecture, Metadata Management, and Data Governance.

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 ingestion, transformation, curated, and analytical layers.
• Develop validation, rejection/quarantine, exception-handling, and remediation rules within data pipelines.
• Build source-to-target reconciliation controls and monitor data completeness, accuracy, and consistency.
• Monitor DQ dimensions including accuracy, completeness, validity, consistency, uniqueness, timeliness, and referential integrity.
• Investigate data-quality issues, conduct root-cause analysis, and drive remediation with Data Engineers, Data Owners, and technical teams.
• Translate business rules, keys, reference data, constraints, and historical requirements into technical data-quality controls.
• Support Microsoft Purview and MDM platforms such as Profisee, including Critical Data Elements (CDEs), duplicate detection, master/reference data validation, and golden-record quality.
• Maintain traceability between DQ rules, business requirements, metadata, data models, and source-to-target 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, Data Validation, Reconciliation, Monitoring, and Remediation.
• Advanced SQL skills with practical experience in Python, PySpark, Spark, or equivalent technologies.
• Strong understanding of relational and dimensional data modelling, 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.