FI
Senior Mine Geologist at First Quantum Minerals
Freelanceil y a 24 jours
Job Description
Zambia
Freelance
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At First Quantum, we empower our employees to unleash their full potential by fostering a distinctive culture rooted in the principles of the “First Quantum Way.” At our organization, the experience transcends conventional workplace norms, guiding our recruitment strategy to seek individuals unafraid to embrace boldness and ingenuity. These professionals excel at identifying opportunities, overcoming challenges, and driving impactful outcomes with strategic precision. Our organization fosters a culture that values independent thinking and the courage to question established norms to achieve exceptional outcomes. This approach enables us to consistently accomplish remarkable achievements in extraordinary settings.
Job title: Specialist, Data Integration
Site: Kansanshi Mining Plc.
Department: IT & Digital
Section: Data Analytics & AI
Position reports to: Senior Director, Data Analytics & AI
This executive role oversees the strategic development and implementation of advanced data analytics and artificial intelligence initiatives across the organization. Key responsibilities include leading cross-functional teams to design, deploy, and optimize AI-driven solutions that enhance operational efficiency, decision-making, and innovation. The position requires extensive experience in AI/ML, big data technologies, and data governance, along with a proven track record of delivering scalable, high-impact analytics solutions. Additionally, the role involves collaborating with senior leadership to align data strategies with business objectives, fostering a data-driven culture, and ensuring compliance with regulatory and ethical standards. Strong leadership, technical expertise, and the ability to communicate complex insights to non-technical stakeholders are essential.
Purpose
The Integration Engineer collaborates with business teams to uncover opportunities and implement digital solutions that enhance operational value throughout the mine value chain. By leveraging business analysis, solution design, data integration, AI, and software engineering, the position engages stakeholders to assess challenges and requirements. The role translates operational needs into scalable, secure solutions, bridges system connections, and transforms data into reliable business assets. Additionally, the Integration Engineer applies AI and contemporary software engineering practices to develop, deploy, and maintain digital products while adhering to architectural standards and industry best practices.
Key Responsibilities
1. Business Analysis
Collaborate with stakeholders in operations and IT to identify challenges, uncover opportunities, and gather and manage precise, prioritized requirements. Evaluate and document business processes to convert operational requirements into effective digital solutions, thereby enhancing workflow efficiency and productivity. Facilitate the implementation and adoption of changes while meticulously monitoring value and benefit realization to guarantee that solutions yield tangible and measurable operational results.
2. Solution Design
Craft innovative, scalable, and secure solutions that comply with enterprise architecture standards and align seamlessly with the site’s existing technology infrastructure, ensuring long-term supportability and alignment with organizational objectives. Assess various technologies and platforms to facilitate well-informed decisions regarding reuse, procurement, or development, ensuring an optimal balance between functional capability, financial investment, and long-term maintainability. Implement robust security measures and integration frameworks to safeguard data integrity and ensure seamless, reliable system interoperability throughout the organization.
3. Data & Integrations
Develop and sustain robust data pipelines and integrations that seamlessly link business and operational technology systems, ensuring uninterrupted and reliable data flow. Leverage advanced data engineering and database expertise to design, implement, and optimize data models, ensuring the transformation of raw data into reliable, governed business assets. Generate analytics that transform operational data into actionable insights, enabling informed decision-making throughout the entire value chain.
4. AI Solutions
Leverage generative AI and machine learning technologies to enhance productivity, elevate decision-making standards, and optimize operational performance. Design and implement AI and knowledge-engineering solutions leveraging reliable enterprise data and specialized domain expertise. Implement responsible AI methodologies to evaluate and validate the delivery of value, ensuring solutions align with safety, ethical standards, and beneficial outcomes.
5. Software Engineering
Develop, implement, and maintain integration software solutions designed to address critical business challenges while delivering measurable operational value. Employ sound software design principles, adhere to established coding standards, and implement rigorous quality engineering practices to produce dependable, easily maintainable applications. Employ modern DevOps methodologies and cutting-edge platforms to automate deployment workflows, guaranteeing secure and reliable production operations.
Qualifications
A bachelor’s degree in engineering, computer science, or information systems is required. A master’s degree will be considered a valuable asset. Academic credentials and results are subject to mandatory verification through the Zambia Qualifications Authority (ZARA).
Experience
Minimum 3 years’ of practical experience in solution design and delivery, attained in roles such as implementation consultant, developer, or solution architect, spanning diverse platforms. A background in business/systems analysis or development is required, along with a demonstrated aptitude for requirements elicitation, process mapping, and translating operational needs into actionable solutions.
Experience in open-pit mining operations and familiarity with mining and resources applications—including fleet management, process and smelter systems, safety protocols, and data-collection methodologies—are beneficial. Capable of developing scalable, maintainable, and secure solutions that comply with enterprise architecture standards while exercising sound judgment in selecting between reuse, purchasing, or building components. Proficient in data engineering, encompassing expertise in databases, SQL, and system integration, coupled with a solid comprehension of data governance principles and trusted data asset management. Proficiency in delivering analytics solutions and implementing AI or machine learning techniques—including generative AI—while adhering to responsible AI principles is required. Proficient in multiple programming languages, including C, Python, JavaScript, HTML, and CSS, with a solid grasp of SOLID principles, design patterns, and both manual and automated testing methodologies. Proficiency in Git, DevOps methodologies, and CI/CD pipeline implementation, complemented by expertise in Agile delivery practices, UX principles, and design-thinking frameworks. Additionally, demonstrated strong analytical and problem-solving capabilities. Commercial acumen and expertise in project planning are essential, along with the ability to foster productive partnerships with vendors and stakeholders. Prior experience collaborating with ICT AZ or LIZ members would be beneficial.
Behavioural Traits
Applies a deep comprehension of mining operations to deliver innovative, product-centric solutions that directly address critical business challenges. Structured, systems-level reasoning is employed to dissect intricate challenges methodically. Delivers well-reasoned, practical choices amidst uncertainty and shifting priorities. Consistently delivers results using iterative agile methodologies while fostering an environment of innovation and continuous improvement. Delivers information effectively through precise technical writing and compelling presentation abilities. Collaborates with stakeholders and partners with vendors to deliver optimal results.
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Your safety comes first — read before you go
Taf4All only lists job offers published by third parties. We are not the employer, we do not conduct these recruitments, and we cannot guarantee what happens once you make contact — you deal directly with the person or company behind the offer, at your own risk.
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