Qureos

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Manager of Data Engineering & Storage

Riyadh, Saudi Arabia

Job Purpose :


  • The Manager of Data Engineering & Storage will help lead the design, development, and optimization of data pipelines, integration strategies, and storage infrastructure to support the Insurance Authority’s data-driven objectives. The role ensures that data is ingested, processed, and stored securely and efficiently to serve analytical, operational, and regulatory needs.


Key Responsibilities and Activities


Operations Management:

Implement the policies, regulations, procedures, and controls so that all relevant procedural/ legislative requirements are met while delivering high-quality and cost-effective results.


Data Engineering & Storage :

Data Pipeline & Storage Development

  • Design and optimize scalable data pipelines for real-time and batch processing.
  • Ensure seamless data ingestion, transformation, and delivery from internal and external sources.
  • Enhance automation and monitoring capabilities to reduce disruptions and optimize performance.
  • Support regulatory data processing requirements and business analytics workflows.

Data Integration and Sharing

  • Develop and implement data integration strategies for unifying data across systems and departments.
  • Standardize data interoperability through APIs and common formats.
  • Manage secure data-sharing processes within IA and with external stakeholders.
  • Monitor integration workflows to ensure high performance and compliance.

Data Operations Management

  • Oversee daily operations of data systems ensuring high availability and reliability.
  • Monitor and report on Insurance Data Hub usage and performance.
  • Define and manage access controls, backup, and disaster recovery for the Data Hub.
  • Identify and resolve operational issues within data services to minimize service interruptions.
  • Drive automation and process standardization to improve efficiency.

Data Architecture and Modelling

  • Design and maintain scalable data architectures aligned with IA’s data strategy.
  • Build and evolve data models to support current and future data requirements.
  • Collaborate with internal teams to align data models with business and analytical needs.
  • Coordinate with the Data Quality & Monitoring team to enforce standards and ensure data integrity.

Storage Infrastructure Management

  • Manage structured and unstructured data storage systems for optimal performance and reliability.
  • Collaborate with IT Infrastructure & Operations for hybrid (cloud and on-premises) storage solutions.
  • Implement and regularly test backup, rollback, and recovery mechanisms.
  • Support Business Continuity by aligning data storage with disaster recovery strategies.

Security & Compliance Integration

  • Enforce data security protocols in coordination with Cybersecurity teams.
  • Ensure compliance with internal data governance and external regulatory requirements.
  • Acquire and manage compliance-related data for monitoring regulatory adherence.
  • Collaborate with Insight Generation & Decision Support teams to evaluate and improve compliance outcomes.
  • Perform other activities as and when required.


Qualifications and Requirements


Knowledge and Experience :

  • 8+ years or more of relevant experience in data engineering, integration, and infrastructure management or any relevant field.
  • Previous experience in in data pipeline tools (e.g., Apache Airflow, Talend), storage platforms (e.g., Hadoop, cloud data lakes), and integration technologies (e.g., APIs, ETL frameworks).
  • Strong understanding of data governance, security, and regulatory compliance.
  • Experience working with hybrid environments (cloud and on-premises).
  • Familiarity with disaster recovery, data privacy standards, and metadata management.


Education and Certifications:

  • Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
  • Relevant certification is preferred

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