Data Quality Expert - Onsite (Riyadh) - Octopus - Immediate hire
Job Overview
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.
Requirements
Education:
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related field (required).
- Master’s degree in Data Management, Information Quality, or Business Analytics (preferred).
- Professional certifications such as DAMA CDMP, DGSP, Informatica Data Quality, or ISO 8000 are a plus.
Experience & Knowledge:
- Minimum 7+ years of experience in data quality, data governance, or master data management.
- Strong understanding of data quality dimensions, metrics, and best practices.
- Hands-on experience with Data Quality tools (e.g., Informatica DQ, Talend, Ataccama, Collibra, Dataplex).
- Proficiency in SQL and data analysis techniques for quality assessment.
- Experience with data profiling, cleansing, and standardization.
- Knowledge of metadata management, data lineage, and stewardship frameworks.
- Familiarity with regulatory requirements in Saudi Arabia (PDPL, NDMO).
- Experience integrating data quality frameworks into cloud platforms (e.g., BigQuery, Databricks, Snowflake).
- Knowledge of data catalog solutions, business glossaries, and metadata tools.
- Familiarity with real-time data validation, API quality checks, and machine learning for anomaly detection.
- Understanding of MDM concepts, data observability, and DataOps practices.
- Experience with insurance or financial services data domains is preferred.
- Strong communication, leadership, and stakeholder management skills.
- Ability to mentor analysts, data stewards, and technical teams.
- Certification in Six Sigma or Quality Management is an advantage.