About
The Lead Specialist, Data Engineering is responsible for designing, developing, and optimizing scalable data engineering solutions across both OT (Operational Technology) and IT environments. The role ensures that data products, enterprise data layers, pipelines, and integration flows are consistent, governed, high-performing, and aligned with enterprise architecture. This position operates as a senior technical specialist providing guidance across multidisciplinary engineering teams and ensuring cohesive OT–IT data ingestion, transformation, and consumption patterns.
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Location
Riyadh, Saudi Arabia
Job Type
Full time
Key Accountabilities
- Design, build, and optimize ingestion, transformation, and orchestration pipelines across OT and IT data sources.
- Implement scalable ELT/ETL workflows supporting enterprise analytics, data products, AI/ML, and operational use cases.
- Engineer unified data flows across remote mining sites, disconnected OT environments, manufacturing systems, edge computing devices, and IT cloud platforms.
- Embed metadata capture, lineage tracking, and quality checks into data pipelines to support data governance and cataloging requirements.
- Translate architectural models into physical engineering implementations.
- Partner with business domains to understand data requirements and ensure delivered pipelines meet operational and analytical needs.
- Address OT-specific latency, connectivity, protocol variability, and historian/SCADA integration considerations in pipeline designs.
Minimum Qualifications
- Bachelor’s degree in Computer Science/Engineering, Data Engineering, Information Systems, or related field.
- Master’s degree preferred (Data Architecture, Software Engineering, or AI/Analytics).
Minimum Experience
- 8+ years of hands-on experience in data engineering across modern architectures (cloud, data lake and warehouse, OT/IT).
- Strong experience building data pipelines integrating OT systems (SCADA, DCS, historians) and IT data sources, ERP Fusion.
- Practical experience with Azure, modern data lakehouse patterns, virtualization, and workflow orchestration.
- Exposure to DevOps pipelines, containerization, data quality, and metadata management systems.
Skills
- Advanced ELT/ETL development (e.g., Data Factory, Informatica, custom pipelines).
- Strong programming in Python, SQL, and data transformation frameworks.
- Experience with timeseries, historian, and sensor data coming from OT.
- Deep understanding of streaming pipelines, micro-batching, and real-time architectures.
- Strong knowledge of cloud platforms (Azure preferred), data lakehouse, Delta/Parquet formats, API integration, and orchestration tools.
- Familiarity with DevOps practices, CI/CD, and Git-based workflows.
Benefits
- Career Growth
- Competitive Salaries
- Comprehensive Package
- Inclusive Work Environment
- Work-Life Balance
- Employee wellness
