Lead Specialist, Engineering and Extract, Transform, Load Enterprise

Ma'aden Aluminium Company (MAC); Medina; On-site; SAR 240,000 - 360,000; Full time

Job summary

Ma'aden Aluminium Company (MAC) invites a seasoned Lead Specialist Engineering and ETL II to build scalable data pipelines, ensure data quality, governance and platform reliability for enterprise analytics.

The role provides technical leadership across data engineering, governance, and business teams, delivering under robust standards to accelerate data-driven decision making and sustainable data platforms in a complex industrial setting.

Qualifications

• 7–10 years of relevant experience in data engineering and ETL/ELT development.
• Experience delivering enterprise-scale production data pipelines with reliability and quality controls.
• Experience implementing data quality, governance, and operational monitoring practices.
• Experience providing technical leadership and cross-team collaboration.

Responsibilities

• Deliver scalable ETL/ELT pipelines with governance for analytics and reporting.
• Enable ingestion, transformation and delivery of data products per approved models and standards.
• Maintain engineering practices for consistency, reusability, and long-term maintainability.
• Strengthen data trust through validation, reconciliation, testing and quality controls.
• Embed metadata lineage and discoverability across data assets and pipelines.
• Collaborate with governance, platform specialists and stakeholders to deliver integrated solutions.
• Drive improvements that reduce cost and increase operability and reliability.

Job description

Why This Role Matters The Lead Specialist Engineering and ETL II enables trusted reliable and accessible data across the enterprise by building and optimizing scalable data pipelines that transform raw data into high-quality information assets The role ensures data products are delivered with strong governance operational resilience and performance standards that support business intelligence analytics and decision-making By embedding engineering excellence data quality controls and platform standards into data delivery processes the role strengthens confidence in enterprise data accelerates insight generation and enables data-driven transformation initiatives The position also provides technical leadership that improves engineering consistency operational reliability and long-term platform sustainability

What You Will Deliver

Data Engineering & Pipeline Delivery

• Deliver scalable ETL ELT pipelines that provide reliable governed and high-quality data for analytics and reporting
• Enable efficient ingestion transformation and delivery of data products aligned with approved data models and architecture standards
• Maintain engineering practices that ensure consistency reusability and long-term maintainability of data solutions

Data Quality & Governance

• Strengthen trust in enterprise data through robust validation reconciliation testing and quality control mechanisms
• Ensure metadata lineage and discoverability requirements are embedded across all data assets and pipelines
• Enable governed access to curated datasets that support enterprise-wide data consumption

Platform Performance & Reliability

• Optimize pipeline efficiency scalability and operational performance through continuous tuning and workload optimization
• Improve production stability through monitoring alerting incident management and proactive risk mitigation
• Reduce operational disruptions by enhancing reliability restartability and recovery capabilities

Technical Leadership & Engineering Standards

• Provide technical guidance that enhances engineering quality consistency and delivery excellence
• Develop reusable components standards and engineering playbooks that improve productivity and reduce complexity
• Influence technical decisions that strengthen enterprise data engineering capabilities

Collaboration & Delivery Excellence

• Partner with data modelers governance teams platform specialists and business stakeholders to deliver integrated data solutions
• Ensure engineering outputs align with enterprise data definitions governance requirements and business needs
• Drive continuous improvement initiatives that enhance cost efficiency operability and solution effectiveness

What Success Looks Like

• Enterprise data pipelines consistently deliver trusted accurate and timely data products
• Data quality issues are identified proactively and resolved efficiently with clear ownership and accountability
• Pipeline performance and operational costs are continuously optimized without compromising reliability
• Data assets are discoverable governed and supported by accurate metadata and lineage
• Production incidents are reduced through strong engineering practices monitoring and operational excellence
• Engineering standards and reusable assets improve delivery speed quality and scalability across initiatives

Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related discipline. Experience 7 10 years of relevant experience in data engineering, ETL/ELT development, and modern data platforms. Experience delivering enterprise-scale production data pipelines with strong reliability and quality controls. Experience implementing data quality, governance, and operational monitoring practices. Experience providing technical leadership and collaborating across engineering, governance, and business teams.

Skills That Matter

• Functional Expertise
• ETL/ELT Engineering
• Data Pipeline Development & Optimization
• Data Transformation & Processing
• Data Quality Management
• Metadata & Data Lineage Management
• Cloud Data Platform Technologies
• Business & Delivery
• Performance Optimization
• Data Governance & Compliance
• Operational Monitoring & Support
• Incident & Problem Management
• Testing & Automation
• Continuous Improvement
• People & Collaboration
• Technical Leadership
• Stakeholder Management
• Cross-Functional Collaboration
• Vendor Coordination
• Communication & Documentation
• Ownership & Accountability