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Data Engineer

Unlock employer Riyadh, Saudi Arabia Direct to Company Posted: 23 Aug 2026

Financial

  • Estimate: $80k - $120k*
  • Zero income tax location

Accessibility

  • Office Only
  • Apply from abroad
  • Visa Provided

Requirements

  • Experience: Junior
  • English: Fluent
  • Arabic: Native

Position

The company is seeking a talented and motivated Data Engineer. This role is ideal for a professional who is passionate about designing and building scalable data solutions that enable informed business decisions. The successful candidate will play a key role in developing and maintaining robust data infrastructure, ensuring data quality, accessibility, and efficiency across the organization.

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Key Responsibilities

  • Design, develop, and maintain scalable data pipelines for collecting, transforming, and processing large volumes of structured and unstructured data.
  • Build and optimize data architectures, databases, and data warehouses to support business intelligence and analytics initiatives.
  • Ensure data accuracy, integrity, security, and availability across all data platforms.
  • Monitor and optimize data workflows to improve performance, reliability, and scalability.
  • Collaborate with cross-functional teams, including business stakeholders, analysts, and developers, to understand data requirements and deliver effective solutions.
  • Implement best practices for data integration, governance, and quality management.
  • Troubleshoot and resolve data-related issues while continuously improving existing data systems.
  • Prepare technical documentation related to data architecture, processes, and standards.
  • Support the PMO and Consultation Department in delivering data-driven solutions aligned with organizational objectives.

Requirements

  • Bachelor's degree in computer science, Information Technology, Data Engineering, or a related field.
  • An MBA or other relevant postgraduate qualification is preferred.
  • Minimum of 2 years of relevant experience in data engineering or a similar role.
  • Strong understanding of data pipelines, ETL/ELT processes, database management, and data architecture.
  • Excellent leadership, communication, and team development skills.
  • Arabic: Native proficiency.
  • English: Fluent proficiency.

Job Location: Client site

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