Data Governance & Quality Expert (AI/Data Engineering)

About the role

We are looking for a hands‑on Data Governance & Quality Expert to support a government entity in Abu Dhabi. You will diagnose and resolve data‑quality issues across real‑estate systems, map data lineage and create a trusted data foundation for reporting, analytics and AI.

Key responsibilities

• Map end‑to‑end data flows and identify source‑of‑truth systems for core real‑estate domains such as property, unit, owner, tenant, contract and transaction.
• Profile data using SQL and Python to detect missing values, duplicates, invalid formats and inconsistencies.
• Define data‑quality rules, thresholds and validation logic, and implement business rules in Informatica and data‑factory layers (Bronze, Silver, Gold).
• Build data‑quality dashboards, exception reports and issue trackers.
• Work with business owners, data stewards, technology teams and vendors to resolve root causes of data issues.
• Support historical data cleansing, master data management and reference data definition.
• Develop automated checks for anomalies, missing data and data‑entry errors.
• Assess whether priority datasets are complete, reliable and ready for analytics and AI use cases.

Required profile

• 6–10+ years of experience in data governance, data quality, data engineering or analytics engineering.
• Hands‑on experience profiling, cleansing, transforming and reconciling data across multiple systems.
• Advanced SQL and Python skills.
• Experience with Informatica, ETL pipelines, data warehouses and Power BI or similar reporting tools.
• Familiarity with data‑quality frameworks, data dictionaries, business glossaries, metadata and lineage.
• Preferably background in government, real‑estate, smart‑city, regulatory or public‑sector data environments.

Required skills

• SQL
• Python
• Informatica
• ETL / data pipeline development
• Data warehousing concepts
• Power BI or comparable visualization tools
• Data‑quality frameworks and metadata management