Principal Specialist Engineering and Extract Transform Load (Operational Technology)

About Maaden and the Role

Maaden, established in 1997, is a multi-commodity mining and metals company in the Middle East. The company contributes to the development of the mining industry in Saudi Arabia. This full-time role for a Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology), based in Riyadh, is integral to Maaden's operational technology initiatives.

Role Purpose

The Principal Specialist, Engineering and ETL (OT) is responsible for establishing scalable, secure, and reliable OT data engineering capabilities across the enterprise. This role ensures that operational data from industrial systems is transformed into trusted, accessible, and analytics-ready information to support operational performance, decision-making, and digital transformation initiatives. The position strengthens enterprise data foundations by defining engineering standards, governance requirements, and integration patterns for high-quality OT data products across multiple sites and operating environments.

Key Responsibilities

• Establish enterprise standards, frameworks, and reference architectures for OT data ingestion, transformation, and integration.
• Define scalable patterns for consistent access to operational data across sites, systems, and platforms.
• Deliver resilient OT data pipelines to ensure reliable, timely, and accurate operational data availability.
• Improve data consistency through robust handling of reconciliation, latency, backfill, quality validation, and exception management.
• Embed governance, lineage, auditability, and quality controls throughout the OT data lifecycle.
• Strengthen compliance with OT security, segmentation, and enterprise data governance requirements.
• Enable the creation of trusted OT data products that support analytics, reporting, operational monitoring, and AI use cases.
• Drive standardization of data models, tag structures, quality indicators, and transformation logic across industrial environments.
• Provide architectural guidance for complex OT integration and engineering initiatives across multiple sites.
• Govern engineering quality by establishing technical standards, design reviews, and delivery assurance mechanisms.
• Advance OT data engineering capabilities through the adoption of modern engineering practices and technologies.

Qualifications and Experience

• A minimum of 10 years of relevant experience in engineering and ETL within Operational Technology environments.
• Demonstrated ability to establish enterprise standards and architectures for data ingestion and integration.
• Experience with data pipeline reliability, performance optimization, and exception management.
• Proficiency in implementing data governance, security, and compliance controls within OT data lifecycles.
• Experience in enabling data products for analytics, reporting, and AI use cases.
• Proven technical leadership in complex OT integration initiatives and quality assurance.

Expected Outcomes

• Consistent availability, trustworthiness, and accessibility of OT data across enterprise analytics and operational platforms.
• High reliability, resilience, and performance of data pipelines across multiple sites.
• Integration of governance, lineage, security, and auditability requirements within OT data engineering processes.
• Operational data products that support business decision-making, performance management, and advanced analytics.
• Consistent adoption of OT-to-IT integration standards across projects and operating environments.
• Improved engineering quality, delivery consistency, and platform scalability through defined standards and governance controls.