Operations Intelligence Engineer / Optimization Engineer
2026-04-08 - 2026-05-08
Permanent
PTA000152
Engineering and Technical
Information Technology
Gauteng, Tshwane (Pretoria)
(Market related, Negotiable)

Job Title:

Operations Intelligence Engineer / Optimization Engineer

Seniority Level:

Mid-Career (4 - 6 yrs exp)

Location:

Pretoria East

Type:

Permanent
 
We are seeking a versatile and analytical engineer who can translate operational data into actionable insight within mining and industrial environments.
This role focuses on analysing operational data, interpreting engineering performance indicators, and advising on improvement opportunities across mining and processing operations.
This is not a narrow specialist role. The ideal candidate is curious, adaptable, and comfortable working across multiple engineering disciplines, including mining operations, mineral processing, equipment performance, and operational reliability.
You will work with operational datasets, reports, and engineering information to identify trends, diagnose issues, and provide practical recommendations that improve performance.

Required Skills & Competencies

Analytical Thinking

  • Strong ability to interpret complex operational datasets
  • Comfortable working with incomplete or imperfect data

Cross-Disciplinary Engineering Mindset

  • Ability to work across multiple engineering domains
  • Curious and adaptable approach to learning

Communication & Advisory Skills

  • Ability to clearly communicate technical insights
  • Capable of translating analysis into practical recommendations

Problem Solving

  • Strong structured thinking and root-cause analysis capability
  • Ability to identify issues and propose actionable improvements

Technical Tools (Beneficial)

  • Excel, Python, Power BI or similar
  • Industrial data systems / historians
  • Mining fleet management systems
  • Production or maintenance reporting systems

Preferred Background

Candidates may come from a range of engineering disciplines, including:
  • Mining Engineering
  • Metallurgical Engineering
  • Mechanical Engineering
  • Industrial Engineering
  • Chemical Engineering
  • Systems or Process Engineering
What matters most is strong analytical capability and the ability to connect engineering insight with operational performance.



Key Responsibilities:

  • Conduct operational data analysis
  • Utilize industrial data systems and sources
  • Advanced Excel skills for data modelling and analysis
  • Develop data visualizations and dashboards using Power BI / Tableau
  • Experience with Python or similar for data manipulation and analysis
  • Analyze performance metrics and KPIs
  • Interpret engineering data and understand processes and systems
  • Apply root cause and performance analysis techniques
  • Integrate and synthesize data for operational purposes
  • Exposure to digital and industrial technologies, with IoT knowledge being advantageous
  • Develop reporting and dashboard solutions

    Data Analysis & Operational Insight

    • Analyse operational datasets from mining operations, processing plants, and equipment systems
    • Interpret production, process, and maintenance data to identify inefficiencies and improvement opportunities
    • Develop insights from plant historians, fleet management systems, production reports, and maintenance records
    • Identify trends related to throughput, recovery, availability, downtime, and equipment performance

    Engineering Interpretation

    • Translate operational data into engineering insights and recommendations
    • Review technical reports and extract key implications for operational improvement
    • Assist stakeholders in understanding drivers behind performance variability and production losses

    Advisory & Stakeholder Support

    • Provide advisory support based on analysis findings
    • Develop recommendations to improve plant performance, mining productivity, and equipment reliability
    • Participate in workshops to review operational performance and improvement initiatives

    Performance & Optimization Reporting

    • Produce clear, concise analytical reports
    • Support development of performance dashboards and reporting tools
    • Assist in tracking and measuring improvement initiatives

    Cross-Disciplinary Analysis

    • Work across multiple domains, including:
      • Mining production
      • Mineral processing
      • Equipment reliability and maintenance
      • Fleet and operational performance
    • Integrate insights across systems to form a holistic view of operations
For more information please contact:
Leandra Roos