Data Engineering & Warehousing Engineer📣 إعلان

Position Overview

Datamatics Technologies is seeking a Data Engineering & Warehousing Engineer to join our team in Riyadh. This full-time position requires 5-10 years of experience in designing, developing, and maintaining scalable data platforms and enterprise data warehouse solutions. The role involves hands-on expertise in building ETL/ELT pipelines, data integration, cloud-based data platforms, and big data processing technologies.

Role Contribution

The successful candidate will play a key role in enabling reliable, high-performance analytics and business intelligence solutions. This involves contributing to the architecture and modernization of data platforms, ensuring data quality, governance, and security across various data initiatives.

Core Responsibilities

• Design, develop, and optimize scalable ETL/ELT pipelines for structured and unstructured data.
• Build and maintain enterprise data warehouses, data lakes, and modern data platforms.
• Develop real-time and batch data processing solutions.
• Integrate data from multiple internal and external sources while ensuring data quality and governance.
• Collaborate with Data Scientists, BI Developers, and business stakeholders to support analytical requirements.
• Optimize data storage, query performance, and pipeline reliability.
• Implement data security, monitoring, and governance best practices.
• Troubleshoot and resolve data pipeline and platform issues.
• Participate in architecture discussions and contribute to data platform modernization initiatives.

Candidate Qualifications

• Bachelor's degree in Computer Science, Information Technology, Data Engineering, Software Engineering, or a related field.
• Strong programming and scripting skills using SQL, Python, or similar languages.
• Excellent analytical and problem-solving abilities.
• Experience working in Agile/Scrum development environments.

Desirable Skills

• Experience with cloud-native data lake and lakehouse architectures.
• Knowledge of CI/CD pipelines and Infrastructure as Code (IaC).
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Experience supporting machine learning and analytics workloads.
• Cloud certifications on AWS, Microsoft Azure, or Google Cloud Platform are considered a plus.

Location and Work Type

This is a full-time position based in Riyadh, offering an opportunity to work within a specialized team focused on advanced data engineering and warehousing solutions.