Principal Specialist, Engineering and Extract

Ma'aden Aluminium Company (MAC); Medina; On-site; SAR 200,000 - 320,000; Full time

Job summary

Ma’aden Aluminium Company (MAC) seeks a Principal Specialist Engineering and ETL OT to lead the design and governance of OT data pipelines. You will define standards, oversee architecture, and drive secure, scalable data engineering across sites to enable analytics, performance improvements, and digital transformation.

The role collaborates with OT and IT teams to ensure data quality, lineage, security, and compliance, while delivering reliable operational insights and AI-ready data products

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Data Engineering, or Industrial Engineering.
• Master’s degree preferred.
• Exposure to Operational Technology (OT) systems is advantageous.
• Experience with OT data engineering and ETL pipelines.

Responsibilities

• Define OT data engineering standards and reference architectures.
• Oversee scalable OT data ingestion, transformation and integration pipelines.
• Embed governance, lineage, auditability, and quality controls across OT data lifecycle.
• Provide architectural leadership across multiple sites and vendors.

Skills

OT Data Engineering

Data Pipelines

Data Governance

Data Products

Technical Leadership

Innovation

Education

Bachelor's degree in CS/CE/DE/Industrial Eng

Master's degree preferred

Job description

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 amp ArchitectureEstablish 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 amp PerformanceDeliver 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 amp SecurityEmbed 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 amp Platform EnablementEnable 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 amp AssuranceProvide 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 amp Continuous ImprovementAdvance 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 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.