Lead Specialist Engineering and Extract Transform Load Enterprise

About the Role

Maaden is seeking a Lead Specialist, Engineering and ETL II, to join its team in Saudi Arabia. This full-time role is essential for ensuring trusted, reliable, and accessible data across the enterprise. The Lead Specialist will build and optimize scalable data pipelines, transforming raw data into high-quality information assets. This position focuses on delivering data products with strong governance, operational resilience, and performance standards to support business intelligence, analytics, and decision-making.

The role strengthens confidence in enterprise data, accelerates insight generation, and enables data-driven transformation initiatives by embedding engineering excellence, data quality controls, and platform standards into data delivery processes. The Lead Specialist also provides technical leadership to improve engineering consistency, operational reliability, and long-term platform sustainability.

Key Responsibilities

• Deliver scalable ETL/ELT pipelines that provide reliable, governed, and high-quality data for analytics and reporting.
• Enable efficient ingestion, transformation, and delivery of data products aligned with approved data models and architecture standards.
• Maintain engineering practices to ensure consistency, reusability, and long-term maintainability of data solutions.
• Strengthen trust in enterprise data through robust validation, reconciliation, testing, and quality control mechanisms.
• Ensure metadata, lineage, and discoverability requirements are embedded across all data assets and pipelines.
• Enable governed access to curated datasets that support enterprise-wide data consumption.
• Optimize pipeline efficiency, scalability, and operational performance through continuous tuning and workload optimization.
• Improve production stability through monitoring, alerting, incident management, and proactive risk mitigation.
• Reduce operational disruptions by enhancing reliability, restartability, and recovery capabilities.
• Provide technical guidance that enhances engineering quality, consistency, and delivery excellence.
• Develop reusable components, standards, and engineering playbooks to improve productivity and reduce complexity.
• Influence technical decisions that strengthen enterprise data engineering capabilities.
• Partner with data modelers, governance teams, platform specialists, and business stakeholders to deliver integrated data solutions.
• Ensure engineering outputs align with enterprise data definitions, governance requirements, and business needs.
• Drive continuous improvement initiatives that enhance cost efficiency, operability, and solution effectiveness.

Success Metrics

• Enterprise data pipelines consistently deliver trusted, accurate, and timely data products.
• Data quality issues are identified proactively and resolved efficiently with clear ownership and accountability.
• Pipeline performance and operational costs are continuously optimized without compromising reliability.
• Data assets are discoverable, governed, and supported by accurate metadata and lineage.
• Production incidents are reduced through strong engineering practices, monitoring, and operational excellence.
• Engineering standards and reusable assets improve delivery speed, quality, and scalability across initiatives.

Qualifications and Experience

• Education: Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
• Experience: 7–10 years of relevant experience in data engineering, ETL/ELT development, and modern data platforms.
• Demonstrated experience delivering enterprise-scale production data pipelines with strong reliability and quality controls.
• Experience implementing data quality, governance, and operational monitoring practices.
• Experience providing technical leadership and collaborating across engineering, governance, and business teams.