Principal Specialist Engineering and Extract Transform Load (Operational Technology)

About Ma'aden

Ma'aden, 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 by building an integrated mining value chain. This role supports Ma'aden's growth objectives in Riyadh.

Role Overview

The Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology) is responsible for establishing scalable, secure, and reliable OT data engineering capabilities across the enterprise. This full-time 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 specialist will define engineering standards, governance requirements, and integration patterns to enable consistent delivery of 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 frameworks for data ingestion and integration.
• Experience in designing and implementing resilient data pipelines with robust data quality and exception management.
• Proficiency in data governance, security, and compliance within OT data lifecycles.
• Experience in enabling data products for analytics, reporting, and AI use cases.
• Strong technical leadership skills, including architectural guidance and quality assurance.

Expected Outcomes

Success in this role will be measured by the consistent availability, trustworthiness, and accessibility of OT data across enterprise analytics and operational platforms. Data pipelines are expected to operate with high levels of reliability, resilience, and performance across multiple sites. The role will ensure that governance, lineage, security, and auditability requirements are embedded within OT data engineering processes, and that operational data products effectively support business decision-making and advanced analytics initiatives. Consistent adoption of OT-to-IT integration standards and improved engineering quality and platform scalability are also key indicators of success.