Lead Specialist, Engineering and Extract, Transform, Load Enterprise

Maaden Saudi Arabian Mining Company

Saudi Arabia

On-site

SAR 200,000 - 320,000

Full time

2 days ago

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Job summary

Maaden Saudi Arabian Mining Company in Saudi Arabia seeks a Lead Specialist, Engineering and ETL II to design and optimize scalable data pipelines that transform raw data into trusted information assets. You will drive governance, resilience, and performance standards to empower BI, analytics, and strategic decision making.

You will provide technical leadership, create reusable components and playbooks, and collaborate with data modelers, governance teams, platform specialists, and business

Qualifications

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related discipline.
7-10 years of relevant data engineering experience.
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 collaborating across engineering, governance, and business teams.

Responsibilities

Deliver scalable ETL/ELT pipelines that provide governed, high-quality data for analytics and reporting.
Extend data ingestion, transformation, and delivery of data products aligned with standards.
Maintain engineering practices for consistency, reusability, and long-term maintainability.
Provide technical guidance that enhances engineering quality and delivery excellence.
Collaborate with data modelers, governance teams, platform specialists, and stakeholders to deliver integrated data solutions.
Drive continuous improvement to cost efficiency, operability, and solution effectiveness.

Skills

ETL/ELT Engineering

Data Pipeline Development

Data Transformation

Data Quality Management

Metadata & Data Lineage

Cloud Data Platforms

Education

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related discipline

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.

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