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

Ma'aden is hiring a Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology) in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.

AI in this role

This leadership role establishes operational technology data engineering strategies and pipelines to support enterprise data platforms and AI initiatives.

etldata-engineeringoperational-technology

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

OT Data Engineering
ETL & Data Integration Architecture
Industrial Historians & Time-Series Data Management
Data Quality & Lineage Management
OT-to-IT Integration Design
Enterprise Data Product Development

Business & Delivery

Data Pipeline Reliability Engineering
Platform Performance Optimization
Data Governance & Security
Solution Architecture & Technical Assurance
Vendor Management & Delivery Oversight
Enterprise Data Strategy Execution

People & Collaboration

Stakeholder Management
Cross-Functional Technical Leadership
Influencing & Decision Making
Vendor & Partner Collaboration
Communication & Knowledge Sharing
Change Leadership

Benefits

1. Career Growth
2. Competitive Salaries
3. Comprehensive Package
4. Inclusive Work Environment
5. Work-Life Balance
6. Employee wellness

How we rate this

Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology) at Ma'aden rates 50 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Key facts

Principal Specialist, Engineering and Extract, Transform, Load (Operational Technology) is an open job at Ma'aden.
Level rates this role AI Level 2 of 4: Uses AI.
The role is based in Riyadh, Saudi Arabia.
The job was posted on October 15, 2026.
Seniority: lead.
Applications are handled by Ma'aden. Apply on Ma'aden

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

ETLData EngineeringOperational Technology

Questions you could be asked

Tell me about a project where etl was part of your work. What did you do?
Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where operational technology was part of your work. What did you do?
This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
Tell me about a time an AI tool got something wrong. How did you catch it?

Adapt your resume

List these exact terms on your resume: ETL, Data Engineering, and Operational Technology. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Put the AI tool in a bullet point about what you did, not just in a skills list. This role treats it as a required part of the job.

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