Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology)

Ma'aden

Riyadh

On-site

SAR 320,000 - 520,000

Full time

8 days ago

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Benefits offered by this job

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Competitive salaries

Comprehensive package

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Job summary

Maaden is seeking a Principal Specialist, Engineering and ETL (OT) to lead OT data engineering strategy, architecture, and governance across multiple sites in Saudi Arabia. You will define standards for data ingestion, transformation, and integration, and ensure secure, scalable data platforms that enable analytics and AI initiatives.

You will drive reliability of OT data pipelines, coordinate cross-functional teams, and oversee governance and security requirements to support enterprise digital

Qualifications

Bachelor’s degree in a technical field; Master’s preferred.
Exposure to OT systems is advantageous.
Experience in data engineering, ETL, and enterprise data integration.

Responsibilities

Establish enterprise standards, frameworks, and reference architectures for OT data ingestion, transformation, and integration.
Define scalable patterns for access to operational data across sites, systems, and platforms.
Strengthen alignment between OT data engineering, enterprise architecture, and governance objectives.
Deliver resilient OT data pipelines with reliable availability and data quality controls.
Improve platform performance through observability, optimization, and resilience initiatives.
Embed governance, lineage, auditability, and quality controls across the OT data lifecycle.
Enable trusted OT data products for analytics, monitoring, and AI use cases.
Provide architectural guidance for OT integration across multiple sites and ensure delivery assurance.

Skills

OT Data Engineering

ETL & Data Integration Architecture

Industrial Historians & Time-Series

Data Quality & Lineage

OT-to-IT Integration

Enterprise Data Product

Education

Bachelor’s degree in Computer Science/Engineering/Data Engineering/Industrial Engineering or related

Master’s degree preferred

Job description

Maaden, established in 1997, is one of the fastest-growing mining companies in the world and the largest multi-commodity mining and metals company in the Middle East. We are leading the development of the mining industry to become the third pillar of Saudi Arabia’s economy by building a world-class, unique, and fully integrated mining value chain.

We are pleased to share an exciting opportunity for the below mentioned position. This role offers a chance to contribute to our ambitious growth and play a key part in shaping the future of mining in the Kingdom.

Why This Role Matters

The Principal Specialist, Engineering and ETL (OT) enables Maaden to unlock the value of operational technology data by establishing scalable, secure, and reliable OT data engineering capabilities across the enterprise. The role ensures that operational data from industrial systems is transformed into trusted, accessible, and analytics-ready information that supports operational performance, decision-making, and digital transformation initiatives.

The role strengthens enterprise data foundations by defining engineering standards, governance requirements, and integration patterns that enable consistent delivery of high-quality OT data products across multiple sites and operating environments. Through robust pipeline design and architectural leadership, the role improves data availability, reliability, and transparency while maintaining security and compliance requirements.

By bridging operational technology environments with enterprise data platforms, the role accelerates analytics adoption, operational insight generation, and AI-driven innovation, enabling Maaden to build a sustainable and governed industrial data ecosystem.

What You Will Deliver OT Data Engineering Strategy & Architecture

Establish enterprise standards, frameworks, and reference architectures for OT data ingestion, transformation, and integration.
Define scalable patterns that enable consistent access to operational data across sites, systems, and platforms.
Strengthen alignment between OT data engineering practices, enterprise architecture, and governance objectives.

Data Pipeline Reliability & Performance

Deliver resilient OT data pipelines that ensure reliable, timely, and accurate operational data availability.
Improve data consistency through robust handling of reconciliation, latency, backfill, quality validation, and exception management.
Enhance platform performance through optimization, observability, and operational resilience initiatives.

Data Governance & Security

Embed governance, lineage, auditability, and quality controls throughout the OT data lifecycle.
Strengthen compliance with OT security, segmentation, and enterprise data governance requirements.
Ensure operational data remains secure, traceable, and aligned with enterprise risk management standards.

Data Products & Platform Enablement

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.
Improve usability and accessibility of operational data for business and technical stakeholders.

Technical Leadership & Assurance

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.
Strengthen delivery consistency across internal teams, partners, and vendors through expert technical oversight.

Innovation & Continuous Improvement

Advance OT data engineering capabilities through adoption of modern engineering practices and technologies.
Improve efficiency, scalability, and cost effectiveness of OT workloads through continuous enhancement initiatives.
Promote engineering excellence and knowledge sharing across the enterprise data ecosystem.

What Success Looks Like

OT data is consistently available, trusted, and accessible across enterprise analytics and operational platforms.
Data pipelines operate with high levels of reliability, resilience, and performance across multiple sites.
Governance, lineage, security, and auditability requirements are embedded within OT data engineering processes.
Operational data products support business decision-making, performance management, and advanced analytics initiatives.
OT-to-IT integration standards are adopted consistently across projects and operating environments.
Engineering quality, delivery consistency, and platform scalability improve through defined standards and governance controls.

Minimum Qualifications

Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, Industrial Engineering, or a related discipline.
Master’s degree preferred.
Exposure to Operational Technology (OT) systems is advantageous.

Experience

10–15 years of experience in data engineering, ETL, and enterprise data integration environments.
Experience working within OT, industrial, manufacturing, mining, or operational data ecosystems.
Proven experience designing and implementing historian and OT system integration solutions at enterprise scale.
Experience establishing engineering standards, governance frameworks, and scalable data delivery practices.

Skills That Matter Functional Expertise