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

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 .

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