Data Engineer

Job Purpose

To design, build, and maintain scalable data pipelines and

infrastructure that support the collection, storage, transformation, and analysis of data across

the organization. The Data Engineer ensures that reliable, high-quality data is accessible to

business users, analysts, and data scientists to support decision-making and innovation.

ACCOUNTIBILITIES

Design, develop, and maintain robust ETL/ELT pipelines to ingest, process, and transform structured and unstructured data.

 Build and manage scalable data infrastructure and storage solutions (e.g., data lakes, data warehouses).

Ensuring data is clean, validated, consistent, and available for analytics, reporting, and machine learning use cases.

Collaborate with data scientists, analysts, and business teams to understand data requirements and deliver appropriate solutions.

Optimize data processing performance and reduce latency through tuning and automation.

Ensure data security, compliance, and governance across all platforms. 

Monitor data flows and troubleshoots production issues promptly. 

Position Requirements

Educational Requirements: Bachelor of computer science, BIS or any related fields

Special Certification or Training Required: Data Analytics

Required Industry Experience: 1 - 4 years

Technological Requirements: ETL

Language Requirements: Arabic - English