Consultant Data Engineering

About the Role

Elm Company is seeking a Consultant Data Engineering to join their team in Riyadh, Saudi Arabia. This full-time role involves designing, developing, maintaining, and supporting enterprise data integration solutions. The consultant will ensure reliable and scalable data movement across business systems and analytical platforms, focusing on ETL processes, data pipeline management, and supporting reporting and analytics requirements.

Key Responsibilities

• Design, develop, and maintain ETL processes to support enterprise reporting and analytics.
• Develop scalable and reusable data integration components and workflows, implementing enhancements to improve performance and reliability.
• Develop and maintain integrations between enterprise applications, databases, external sources, and analytical platforms.
• Monitor, support, and maintain production data pipelines and scheduled processing jobs, ensuring timely execution and investigating operational incidents.
• Implement validation controls and data quality checks throughout data integration processes, identifying and resolving inconsistencies.
• Support the design and maintenance of data models, develop and optimize database queries, and contribute to enterprise data architecture initiatives.
• Support business intelligence and reporting initiatives by preparing and maintaining datasets for dashboards and analytics.
• Collaborate with business users, analysts, and technology teams to translate business requirements into technical data solutions.
• Identify opportunities to automate manual data integration and processing activities, improving efficiency and reliability.

Qualifications and Experience

• A minimum of 5-10 years of experience in data engineering or a related field.
• Demonstrated experience in designing, developing, and maintaining ETL processes and data integration solutions.
• Proficiency in managing data pipelines and ensuring operational continuity of critical data integration services.
• Experience with data quality assurance, validation controls, and resolving data inconsistencies.
• Familiarity with data modeling, database optimization, and supporting analytical requirements.

Operational Compliance

The role requires adherence to all relevant departmental policies, processes, standard operating procedures, and instructions. Compliance with safety, quality, environmental management policies, and information security practices and standards is essential to ensure data integrity and confidentiality.

Work Environment

This is a full-time position based in Riyadh, Riyadh, Saudi Arabia. The role involves working within a team focused on data and analytics, contributing to continuous improvement initiatives and the adoption of best practices.