OT/IT Data Engineering Lead: Scalable Pipelines

Maaden; Saudi Arabia; On-site; SAR 350,000 - 600,000; Full time

Job summary

Maaden is seeking a Lead Specialist, Data Engineering to design, implement, and optimize scalable data pipelines across OT and IT environments. You will guide cross-disciplinary teams, ensure governance, and deliver cohesive data ingestion, transformation, and consumption patterns.

Responsibilities include building ETL/ELT workflows, enabling analytics and AI/ML use cases, and addressing OT-specific challenges across sites and cloud platforms.

Qualifications

• Minimum: Bachelor's in CS/Engineering or related field.
• Master's degree preferred (Data Architecture, Software Engineering, or AI/Analytics).
• 8+ years in data engineering across cloud, data lake/warehouse, OT/IT.

Responsibilities

• Design, build, and optimize ingestion, transformation, and orchestration pipelines across OT and IT data sources.
• Implement scalable ELT/ETL workflows for analytics, data products, AI/ML, and operations.
• Engineer unified data flows across remote mining sites, OT environments, manufacturing systems, edge devices, and IT clouds.
• Embed metadata, lineage, and quality checks to support governance and cataloging.
• Translate architectural models into physical engineering implementations.
• Collaborate with business domains to meet operational and analytical needs.
• Address OT latency, connectivity, protocol variability, and historian/SCADA integration considerations.

Skills

Advanced ELT/ETL development

Python programming

SQL proficiency

OT data (SCADA/historians)

Streaming pipelines

Azure cloud

Data lakehouse

API integration

CI/CD / DevOps

Education

Bachelor's degree in CS/Engineering

Master's degree preferred

Tools

Data Factory

Informatica

Job description

Maaden is seeking a Lead Specialist, Data Engineering to design, implement, and optimize scalable data pipelines across OT and IT environments. You will guide cross-disciplinary teams, ensure governance, and deliver cohesive data ingestion, transformation, and consumption patterns.

Responsibilities include building ETL/ELT workflows, enabling analytics and AI/ML use cases, and addressing OT-specific challenges across sites and cloud platforms.