Specialist Data Engineering at Anglo American

Job Description:
As our Specialist Data Engineering some of your responsibilities will include but not limited to:

Safety, Health, and Environment

• Adhere to all health and safety practices and requirements.
• Support good housekeeping in the broader department and on-site.
• Participate in safety initiatives (e.g., VFLs) as required.
• Active participation in SLAMs, HPHs, relevant Risk Assessments and close-out of Safety Actions.

Performance and Delivery
Data Architecture Design:

• Design and implement robust data architectures that support the storage, processing, and retrieval of engineering reliability data.
• Collaborate with stakeholders to understand data requirements and ensure alignment with business objectives.

Data Modelling:

• Develop and implement data models that represent the structure and relationships of engineering data.
• Optimize data models for performance, scalability, and ease of use.

Data Integration:

• Integrate data from various sources, including sensors, equipment, and other systems, to create a unified and comprehensive view of engineering reliability data.
• Implement Extract, Transform, Load (ETL) processes to ensure data consistency and accuracy.

The Work: Key Outputs and Accountabilities
Database Management:

• Manage databases used for storing engineering reliability data.
• Implement and optimise database structures, indexes, and queries for efficient data retrieval.

Data Quality Assurance:

• Implement and enforce data quality standards to ensure the accuracy and reliability of engineering data.
• Develop and execute data validation processes to identify and address inconsistencies or errors.

Real-time Data Processing:

• Implement solutions for real-time data processing, especially for monitoring and analysing real-time data from sensors and equipment.
• Ensure timely and accurate data updates to support engineering reliability monitoring and decision-making.

Data Security and Compliance:

• Implement security measures to safeguard engineering reliability data.
• Ensure compliance with data protection regulations and industry standards.

Collaboration with Data Scientists and Analysts:

• Work closely with data scientists and analysts to understand their data requirements and provide the necessary infrastructure for advanced analytics and modelling.

Scalability and Performance Optimization:

• Optimize data infrastructure for scalability to handle growing volumes of engineering data.
• Continuously monitor and improve the performance of data processing and retrieval.

Documentation:

• Create and maintain documentation for data architecture, processes, and models.
• Provide documentation that facilitates other team members' understanding and use of engineering reliability data.

Continuous Learning:

• Stay abreast of emerging technologies and best practices in data engineering.
• Evaluate and recommend new tools and technologies to enhance the data engineering capabilities within the Engineering Reliability function.
• This role is in the Engineering & Maintenance HME/Plant (ENG) department on a band 6.12 level reporting to the Section Manager Reliability

Qualifications:

• Grade 12
• Bachelor's degree/Bachelor of Technology in a relevant field such as Information Technology, Computer Science, Engineering, or Business Information/ Systems Engineering
• SAP Certified Application Associate), Oracle (Oracle Certified Associate), Microsoft Dynamics, or other relevant ERP platforms
• SA Drivers License

Technical Knowledge

• In-depth knowledge of Database Management Systems (DBMS) and their management, with 6-8 years of relevant experience.
• Comprehensive understanding of principles behind Data Modeling and Architecture.
• Profound knowledge of ETL (Extract, Transform, Load) Processes.
• Familiarity with Programming and Scripting Languages in the context of database management.
• Thorough understanding of Big Data Technologies.
• Extensive experience in Real-time Data Processing.
• Comprehensive knowledge of Data Quality and Governance.
• In-depth understanding of Security and Compliance measures in the context of database management.
• Familiarity with Cloud Computing as it pertains to database management.
• Advanced understanding and application of Computer Literacy, including MS Office, Projects, Outlook, Word, Excel, and PowerPoint.
• Proven experience in identifying and implementing business and strategic improvement opportunities and projects related to database management in mining operations.
• Application of Project management fundamentals in the context of database management.
• Thorough understanding of change management methodologies.

Closing Date:

• 30 June, 2025