Senior Engineer, Data Engineering Ma'aden Aluminium Company (MAC)

Key Accountabilities

Data Architecture Development & Maintenance (Operational Focus):

• Develop, construct, test, and maintain data architectures, including databases and large-scale processing systems, specifically tailored for the unique data requirements of operational units.
• Ensure the data architecture will robustly support the requirements of data scientists, key stakeholders, and the business objectives for digitalization.
• Develop and improve data set processes for data modeling, data mining, and production environments within the operational context.

Data Reliability, Efficiency & Quality:

• Implement and continuously improve methods to enhance data reliability, efficiency, and quality across all data pipelines.
• Assist with data-related technical issues and provide essential support for data infrastructure needs specific to operational units.

Data Tooling & Enablement:

• Create and optimize data tools for analytics and data scientist team members that assist them in building and optimizing products crucial for achieving business goals and digitalization targets.
• Drive the adoption of best practices in data engineering to support advanced analytics and AI/ML initiatives.

Collaboration & Integration:

• Collaborate closely with the Digitalization - Infrastructure team to ensure seamless integration of data solutions within the broader digital infrastructure.
• Work with data scientists and operational teams to understand data needs and deliver effective data solutions.

Skills:

Deep knowledge of SQL, Big data data pipelines, architectures, and data sets, Experience working in AI start-up environment or organizations with an agile culture, Background in programming in Python, Scala, C etc. is beneficial