Specialist Data Engineering

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 onsite.
  • Participate in safety initiatives (e.g. VFLs) as required.
  • Active participation in SLAMs HPHs relevant Risk Assessments and closeout 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.
• Realtime Data Processing:
  • Implement solutions for realtime data processing especially for monitoring and analysing realtime data from sensors and equipment.
  • Ensure timely and accurate data updates to support engineering reliability monitoring and decisionmaking.
• 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 :

• Bachelors 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

• Indepth knowledge of Database Management Systems (DBMS) and their management with 68 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 Realtime Data Processing.
• Comprehensive knowledge of Data Quality and Governance.
• Indepth 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.

Additional Information :

Who we are

Anglo American is a global diversified mining business. Our portfolio of worldclass mining operations provides the metals and minerals that make modern life possible. We use innovative practices and the latest technologies to discover new resources and mine.

We work together with our key partners and stakeholders to unlock the sustainable value that those resources represent for our shareholders the communities and countries in which we operate and for society at large. Anglo American is reimagining mining to improve peoples lives.

How we are committed to your safety

Nothing is more important to us than ensuring you return home safely after a days work. To make that happen we have the most rigorous safety standards in the industry. Not only that were also continually investing in new technologies from drones to data analytics that are helping to make mining safer.

Inclusion and Diversity 

Anglo American is an equal opportunities employer. We are committed to promoting an inclusive and diverse workplace where we value and respect every colleague for who they are and provide equality of opportunity so that everyone can fulfil their potential.

How to apply

To apply for this role please complete our online application form. You will have the opportunity to upload your CV and other relevant documentation as part of this process.

Remote Work :

No

Employment Type :

Fulltime