Lead Specialist, Engineering and Extract, Transform, Load Enterprise

Ma'aden is hiring a Lead Specialist, Engineering and Extract, Transform, Load Enterprise in Riyadh, Saudi Arabia. Level rates it ; you can apply on Level.

Level's read on this job

Level rates this role Little AI ●○○○: aI is not part of the work.
The posting mentions ETL, Elt and data engineering among its tools and skills.
Level classes it as a lead role.
Ma'aden has 33 other open roles on Level.
This posting went up in the last few days.

AI in this role

Lead data engineer responsible for building and optimizing scalable ETL/ELT pipelines and ensuring data governance.

etlelt

data-engineeringdata-pipelinesdata-governancedata-quality

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 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.

Minimum Qualifications

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

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

Lead Specialist, Engineering and Extract, Transform, Load Enterprise at Ma'aden rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● 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

Lead Specialist, Engineering and Extract, Transform, Load Enterprise is an open job at Ma'aden.
Level rates this role AI Level 1 of 4: Little 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

Data EngineeringData PipelinesData GovernanceData QualityETLElt

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where data pipelines was part of your work. What did you do?
Tell me about a project where data governance was part of your work. What did you do?
Tell me about a project where data quality was part of your work. What did you do?
Walk me through how you've used ETL in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Data Pipelines, Data Governance, Data Quality, and ETL. 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.

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