At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture – the “First Quantum Way”.

Working with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.

Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

Purpose of the Role

Leverage data management and analysis to improve plant reliability and efficiency. This role involves developing predictive maintenance models, managing data integrations, and ensuring the integrity of operational data systems.

Specific Job Responsibilities

• Developing and maintaining data pipelines that consolidate information from multiple operational and business systems.
• Analyzing equipment performance, maintenance, and reliability data to identify trends, recurring failures, and improvement opportunities.
• Building predictive maintenance models to forecast equipment failures and support proactive maintenance strategies.
• Creating and maintaining dashboards, reports, and visualizations that provide actionable insights to maintenance and operations teams.
• Ensuring data accuracy, integrity, accessibility, and governance across reliability-related systems.
• Collaborating with Maintenance, Operations, and Engineering teams to deliver data-driven solutions that improve decision-making and asset performance.
• Supporting continuous improvement initiatives through advanced analytics, process optimization, and reliability-focused reporting.
• Providing training and technical support on data analytics tools, methodologies, and reporting systems.
• Advanced proficiency in Python for data analysis, automation, predictive analytics, and machine learning applications.
• Strong knowledge of SQL for querying, extracting, transforming, and analyzing large operational datasets.
• Proficient in Microsoft Power BI and other data visualization tools to develop interactive dashboards, reports, and performance monitoring solutions.
• Experience working with Enterprise Resource Planning (ERP) systems such as Pronto Xi, JD Edwards (JDE), SAP, or equivalent business management platforms.
• Familiarity with industrial data historians, SCADA systems, PI System, or other operational technology platforms.
• Knowledge of cloud-based analytics and data management platforms.
• Exposure to big data technologies such as Apache Spark, Kafka, and Hadoop.
• Knowledge of data integration, ETL processes, data quality management, and data governance principles.
• Ability to collect, cleanse, analyze, and interpret large volumes of structured and unstructured data.
• Strong statistical and analytical skills with the ability to identify trends, anomalies, and opportunities for performance improvement.
• Experience in developing automated reporting solutions that enhance operational visibility and decision-making.

Behavioural Competencies

• Strong problem-solving and critical-thinking capabilities.
• Excellent verbal and written communication skills.
• Ability to translate complex technical information into clear and actionable business insights.
• Strong stakeholder engagement and relationship management skills.
• Ability to work collaboratively across Maintenance, Operations, Engineering, Planning, and Supply Chain teams.
• High level of attention to detail and commitment to data accuracy.
• Strong organizational and time-management skills.
• Continuous improvement mindset with a proactive approach to identifying and implementing performance improvement opportunities.

Preventive Maintenance Optimization

• Develop and execute PMO Project “Preventive Maintenance Optimization” to keep the execution Preventive Maintenance program up to date.
• Work closely with planners and work execution teams to understand and improve issues related to work instructions.
• Analyse the performance of the PM’s and their relevance with regards to preventing failure as per conclusions of root cause analysis.
• Coach and support the execution team in the development of comprehensive standard jobs.

Equipment Strategies

Defect Elimination and Bad Actor Management

• Develop and maintain a strategic plan for defect elimination and managing bad actors.
• Develop and support personnel in usage of Reliability based methodology, bad actor identification and maintenance KPI’s monitoring.

Health and Safety

Contribute to the management of Health and Safety by:

• Understanding and communicating the company’s EH&S vision, policies and standards to team.
• Identifying EH&S risks and exposures in the analysis and recommendation for change.
• Leading the team to take every opportunity to minimise environmental impacts and to use resources as efficiently as possible to promote sustainable development.
• Contributing to the identification of the significant Health and safety risks of the equipment.
• Ensuring that health and safety training is completed as required.
• Ensuring that incidents related to health, safety or the environment are reported and assisting in investigations to identify any additional controls required.
• Attending regular safety meetings.
• Actively promoting continuous improvement in safety performance throughout the workforce.

Job Specific Competencies

The specific tasks to be performed by the position holder will include:

• Ensuring that both Company and Vendor Safety and Quality standards are adhered to during Installation / Maintenance, Configuring of Field Bus Systems (Profibus / Ethernet) / Fiber Optical Systems, whilst ensuring minimum disruption to the Process Plant Operation or Production.
• Performing Fault Analysis/Fault Finding on Field Bus Systems (Profibus/Ethernet) / Fibre Optical Systems in order to eliminate re-occurrences of repetitive faults and improve Process Control Systems reliability and efficiency.
• An understanding of the Network Drawings of the Processing Plant in relation to the Control & Instrumentation Systems and Equipment installed.
• Keeping record of all changes and red-line required Systems / Network Drawings for Instrumentation.

Experience & Qualifications

• Minimum of 3 years of experience in a Data Engineering role, preferably within a manufacturing, mining, or industrial environment.
• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.

How to Apply

Interested candidates should apply through the official First Quantum careers portal using requisition number JR18620.

Closing Date: 7 October 2026

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About First Quantum

At First Quantum, we free the talent of our people by taking a very different approach which is underpinned by a very different, very definite culture – the “First Quantum Way”.

Working with us is not like working anywhere else, which is why we recruit people who will take a bolder, smarter approach to spot opportunities, solve problems and deliver results.

Our culture is all about encouraging you to think independently and to challenge convention to deliver the best result. That’s how we continue to achieve extraordinary things in extraordinary locations.

Purpose

The Forward, Deployed Engineer works alongside the business to identify opportunities and deliver digital solutions that create operational value across the mine value chain. Combining business analysis, solution design, data and integrations, AI, and software engineering, the role engages stakeholders to understand problems and requirements, helps translate operational needs into scalable, supportable and secure solutions, connects systems and turns data into trusted business assets, and applies AI and modern software engineering to build, deploy and support digital products, in alignment with architectural standards and best practices.

Key Responsibilities

1. Business Analysis

• Engage stakeholders across operations and IT to understand challenges, surface opportunities, and help elicit and manage clear, prioritised requirements.
• Analyse and map business processes to translate operational needs into practical digital solutions that improve how work gets done.
• Support change and adoption, and track value and benefits realisation so that solutions deliver measurable operational outcomes.

2. Solution Design

• Design and build supportable, secure solutions that align with enterprise architecture standards and the site's technology landscape, with guidance from senior engineers on complex decisions.
• Contribute to technology and platform evaluations, applying reuse, buy or build guidance that balances capability, cost and long-term supportability.
• Apply security and integration patterns that protect data and connect systems reliably across the enterprise.

3. Data & Integrations

• Build and maintain data pipelines and integrations that connect business and operational technology systems and keep data flowing reliably.
• Apply data engineering and database skills to model, store and transform data into trusted, well-governed business assets.
• Deliver analytics and reports that turn operational data into actionable insight for decision-making across the value chain.

4. AI Solutions

• Apply generative AI and machine learning to improve productivity, decision quality and operational performance.
• Develop and deploy AI and knowledge-engineering solutions grounded in trusted enterprise data and domain knowledge.
• Follow responsible AI practices and measure value delivery so that solutions are safe, ethical and beneficial.

5. Software Engineering

• Build, deploy and support digital products that solve real business problems and create operational value.
• Apply sound software design, coding standards and quality engineering to deliver reliable, maintainable applications.
• Use DevOps practices and modern platforms to automate delivery and support secure, stable operation in production.

Qualifications

• Minimum Grade 12 Certificate.
• Bachelor's degree in engineering, computer science or information systems.
• Relevant cloud, data or software engineering certifications will be an added advantage.
• All academic qualifications and results must be verified by the Zambia Qualifications Authority (ZAQA).

Experience

• Minimum 5 years' hands-on experience in solution delivery as a developer, implementation consultant or engineer across a range of platforms.
• Business or systems analysis or developer background, with the ability to elicit requirements, map processes and translate operational needs into practical solutions.
• Data engineering skills across databases, SQL and system integration, with a good understanding of data governance and trusted data assets.
• Experience delivering analytics and applying AI or machine learning, including generative AI, with awareness of responsible AI practices.
• Proficiency in one or more languages (C#, Python, JavaScript, HTML/CSS), with knowledge of SOLID principles, design patterns and manual or automated testing.
• Experience with Git, JIRA, DevOps and CI/CD pipelines, and with Agile delivery, UX and design-thinking methods, backed by strong problem-solving skills.
• Ability to design supportable and secure solutions aligned to enterprise architecture standards, with sound reuse, buy or build decision-making and guidance on complex cases.
• Open-pit mining experience and knowledge of mining and resources applications (fleet management, process, smelter, safety and data-collection systems) an advantage; member of ICTAZ or EIZ an advantage.

Behavioural Traits

• Understands mining operations and applies product thinking to solve real business problems.
• Breaks down problems using structured, systems-level thinking.
• Makes sound, pragmatic decisions under changing priorities, seeking guidance where needed.
• Delivers iteratively through agile methods with an innovation and continuous-learning mindset.
• Communicates clearly through good technical writing and presentation skills.
• Collaborates effectively with stakeholders and team members to drive outcomes.

How to Apply

Interested and qualified candidates should apply through the official First Quantum careers portal.

Requisition Number: JR18510

Application Closing Date: 24 September 2026

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