Data Quality Expert - Onsite (Riyadh) - Octopus - Immediate hire

ROBUSTA; Saudi Arabia; On-site; SAR 150,000 - 200,000; Full time

Job summary

A leading tech outsourcing company is seeking a Data Quality Expert in Saudi Arabia. This role involves defining enterprise data quality frameworks, developing KPIs, and ensuring compliance with relevant data regulations. Ideal candidates will have expertise in data quality assessments and automated monitoring tools, contributing to significant projects within a dynamic environment.

Qualifications

• Expertise in defining and implementing data quality strategies.
• Experience in developing automated data quality rules and monitoring.
• Familiarity with Saudi data regulations (PDPL, NDMO).

Responsibilities

• Define an Enterprise Data Quality Strategy and Framework.
• Develop Data Quality KPIs and Scorecards.
• Create Data Quality dashboards for monitoring.

Skills

Data quality assessment

Root cause analysis

Data profiling

Stakeholder collaboration

Tools

Data quality tools

Job description

About Octopus by RTG

Octopus by RTG is the tech hiring and outsourcing arm of Robusta Technology Group, dedicated to connecting exceptional tech talent with top-tier organizations across the MENA, GCC, Europe, the US, and Canada. We specialize in building strong, long-term partnerships between skilled professionals and innovative companies. Our mission is to empower growth, innovation, and excellence by matching the right talent with the right opportunities.

Currently, we are hiring a Data Quality Expert for one of our partner organizations in KSA on a 1-year contract, offering the opportunity to contribute to exciting projects within a dynamic and forward-thinking environment.

Main Responsibilities

• Define and implement an Enterprise Data Quality Strategy and Framework aligned with business goals.
• Develop and maintain Data Quality KPIs and Scorecards (completeness, accuracy, timeliness, consistency, uniqueness, integrity).
• Design and implement automated data quality rules, validations, and monitoring processes.
• Establish data profiling practices to proactively identify and resolve quality issues.
• Create and maintain Data Quality dashboards for real-time monitoring and alerts.
• Collaborate with business stakeholders and data stewards to define data standards and acceptance criteria.
• Develop data issue management workflows and remediation procedures.
• Conduct root cause analysis for recurring data quality problems and ensure corrective actions.
• Ensure compliance with Saudi data regulations (PDPL, NDMO) in all data processes.
• Implement data quality controls across data pipelines and source systems.
• Define and enforce data quality checkpoints throughout the data lifecycle.
• Document data quality standards, processes, and governance playbooks.
• Lead data quality assessments, audits, and maturity evaluations.
• Provide training and awareness programs on data quality best practices.
• Collaborate with Enterprise Data Architects to embed quality standards in architecture and data models.
• Support Data Scientists and Analytics teams by ensuring access to clean and reliable data.
• Participate in establishing a Data Stewardship program and community of practice.
• Drive continuous improvement initiatives in data quality processes and performance metrics.
• Evaluate, select, and recommend data quality tools and technologies.