DATA Quality

Gravity Engineering Services

We are seeking a Data Quality specialist to establish and operationalise the enterprise data quality programme for a leading UAE client. You will define quality standards, implement monitoring controls, and embed a culture of data trust across business and technology teams. KEY RESPONSIBILITIES Design and implement an enterprise data quality framework covering dimensions: accuracy, completeness, consistency, timeliness, validity, and uniqueness. Define data quality rules, thresholds, and SLAs for critical data domains (customer, product, finance, operations). Build and configure automated data quality monitoring pipelines using DQ tooling (Great Expectations, Talend DQ, Informatica DQ, or equivalent). Develop data quality scorecards and dashboards for business and technical stakeholders. Conduct root-cause analysis on data quality issues and drive remediation through structured workflows. Collaborate with data engineers to embed quality checks within data pipelines (ingestion, transformation, serving layers). Define and manage a Data Quality Issue Register, tracking defects from discovery through to resolution. Partner with governance and catalog teams to integrate quality metrics into the enterprise data catalog. Lead data quality working groups and build DQ awareness across data stewards and business users. LEVEL GUIDE: ASSISTANT MANAGER VS. MANAGER / SENIOR MANAGER Dimension Assistant Manager Manager / SM Scope Implements DQ rules and monitors quality dashboards within assigned domains Designs the enterprise DQ framework; owns quality SLAs across all critical domains Stakeholders Works with data engineers, stewards, and BI analysts Engages CDO, domain owners, and operational leads on quality targets and remediation Deliverables DQ rules, issue logs, monitoring dashboards, remediation reports DQ operating model, scorecard framework, pipeline integration standards, board reports Autonomy Executes within defined framework Sets quality standards independently; owns the DQ programme roadmap gravityer.com talent.gravityer.com careers@gravityer.com Page 2 Dimension Assistant Manager Manager / SM Team Individual contributor Leads DQ workstream; coordinates stewards and engineering partners REQUIRED SKILLS & QUALIFICATIONS 4+ years (AM) / 7+ years (ManagerSM) in data quality, data engineering, or data management roles. Hands-on experience with DQ tooling: Great Expectations, Informatica DQ, Talend, Monte Carlo, or equivalent. Strong SQL skills; experience writing complex data quality validation queries. Understanding of data quality dimensions (DAMA-DMBOK) and their measurement methodologies. Experience with cloud data platforms (Snowflake, Databricks, Azure Synapse, BigQuery) for DQ pipeline implementation. Ability to translate DQ findings into business-impact narratives for non-technical stakeholders