Sr. Engineer, Data Analyst

Maaden Brief:

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 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.

Role Profile:

Job Title: Sr. Engineer, Data Analyst

Business Unit/Function: Aluminium BU’s / TCI

Department: Technology and Sustainability

Job Location: Ras Al Khair

Working hours: 8 hours

Job post duration: starting 22 November 2025 - end date: 10 Dec 6 2025

Type of work: Full-time

Job Purpose

The Sr. Engineer, Data Analyst plays a critical role in shaping the organization's data architecture strategy and ensuring that data assets are effectively managed, protected, and leveraged to drive business success. This position is responsible for providing expert guidance and leadership on all aspects of data architecture within the organization, including developing data models, database designs, data integration strategies, and data governance processes. The Sr. Engineer works closely with business stakeholders, data analysts, data engineers, and other IT professionals to ensure that data architecture meets the needs of the organization and supports its strategic goals.

Key Accountabilities

• Designing and developing data models and databases that support business requirements and data analytics needs
• Collaborating with business stakeholders to understand their data needs and develop data architecture solutions that align with business goals
• Defining and implementing data governance processes to ensure data integrity, security, and compliance with regulations
• Evaluating and recommending new tools and technologies to improve data architecture and data management practices
• Leading the design and implementation of data integration solutions to enable seamless data flow across different systems and platforms
• Mentoring and coaching data architects and other team members on best practices in data architecture and data modeling
• Participating in cross-functional teams to design and implement data solutions that support business initiatives and improve operational efficiency
• Monitoring and optimizing database performance, scalability, and reliability to ensure high availability and data quality
• Collaborating with other IT teams to define data standards, data quality metrics, and data architecture principles that guide data management practices across the organization
• Staying current on industry trends and best practices in data architecture, data management, and data analytics to drive continuous improvement in data architecture practices

Minimum Qualifications, Experience and Competencies

Minimum Qualifications:

Bachelor's degree in a related field such as Computer Science, Information Technology, Data Science, or a related discipline.

Minimum Experience:

-Over 10 years of experience in data architecture, with a focus on mining and metals-related fields.

Ma’aden High-Performance Competencies:

• Performance management
• Team development and capability building
• Leadership
• Teamwork
• Integrity
• Care
• Ownership
• Accountability
• Communication
• Continuous improvement
• Achievement Drive
• Decisiveness and judgement
• Impact and influence
• Commercial Acumen
• Strategic Visioning

Skills:

• Strong knowledge of data architecture principles and best practices
• Proficiency in data modelling and database design
• Experience in developing and maintaining data architecture strategies and roadmaps
• Ability to design and implement data governance processes and policies
• Familiarity with data integration and ETL processes
• Knowledge of data quality and data security standards
• Experience in data warehousing and data lakes
• Proficiency in data visualization tools and techniques
• Strong analytical and problem-solving skills
• Excellent communication and stakeholder management skills.

We offer a comprehensive benefits package, including medical, relocation, housing, transportation, performance/loyalty bonuses, and professional development.