Kamoto Copper Company Société Anonyme, KCC SA in acronym, is a Congolese company operating in Kolwezi, capital of the province of Lualaba, in the Democratic Republic of the Congo.
KCC SA exploits copper and cobalt ores on a large scale. It includes an underground mine, open-pit mines and integrated metallurgical facilities. The operation has one of the largest copper reserves in the world, with a current life of over 25 years.
As an industrial mining company, we provide safe workplaces and support the sustainable development of the local economy. We maintain a constructive and open dialogue with the communities that host us, as well as with the provincial and national government.
IMPORTANT NOTICE
KCC SA does not accept applications submitted by persons under the age of eighteen (18). In accordance with article 1 of the Labor Code of the Democratic Republic of Congo, KCC SA receives all applications without distinction or discrimination. However, as part of its Equal Opportunity, Diversity, Equity and Inclusion program, applications from women are strongly encouraged.
In accordance with our Compliance Policy and Code of Conduct, KCC, its representatives and its workers do not receive any compensation or benefits of any kind at any stage of the recruitment process (application submission, application processing, tests and interviews for employment, medical examinations for employment, or induction, etc.). Any act of corruption or attempted corruption must be reported to the telephone number: +243 999928028 and will be severely punished.
Furthermore, KCC SA pursues the objective of a transparent, fair and equitable recruitment process and, therefore, does not tolerate any interference or intervention in any way whatsoever in its recruitment process. Any failure on this point will result in the immediate disqualification of the candidate concerned.
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Job Description
Reporting to the Digital Transformation Manager , the incumbent will support the Integrated Operations team in the management of digital and technology projects. He/she will be responsible for creating, maintaining and optimizing data, Big Data platforms and their integration into databases and data lakes, using cloud and on-premise technologies. He/she will develop and automate processes for extracting, validating and transforming raw data into quality data assets for analysis and operations. He/she will ensure that data governance controls are in place in accordance with KCC policies and will seek to improve team efficiency by promoting automated processes. He/she will be responsible for the performance and integrity of the functions' data pipeline.
He/She will have, among other things, the following responsibilities (non-exhaustive list):
1. Data architecture and database management:
• Design, develop, install and maintain Big Data platforms and data integrations into databases, warehouses and data lakes (cloud and on-premises).
• Ensure the architectural integrity and efficiency of databases.
• Ensure the accounting of operational technologies and necessary infrastructures.
• Ensure that the architecture meets business requirements.
• Design and implement scalable systems to handle data growth.
2. Data mining :
• Develop and manage ETL processes to integrate and improve data value chains.
• Implement processes and procedures to ensure optimal ETL processing and maintain data quality.
3. Data quality and compliance:
• Manage, optimize and standardize metadata from various data sources.
• Ensure data quality, consistency and security.
• Implement measures to maintain data integrity across all platforms and ensure confidentiality and regulatory compliance.
• Recommend new ways to manage and improve data integrity and source reliability.
4. Activation of activities commercial :
• Enable efficient and reliable data collection.
• Use scripting languages and engineering tools to develop data analysis solutions, tools and models.
• Collaborate with stakeholders to develop digital strategies and roadmaps to support strategic business objectives.
5. Innovation and transformation:
• Explore new opportunities in data generation and use through research and market research.
• Develop and deploy new applications of Business Intelligence, Robotic Process Automation, Machine Learning, etc. to improve operations.
6. Change and risk management:
• Participate in digital steering committees to evaluate new technological proposals or changes in the digital landscape.
• Ensure that governance and change management processes are applied effectively to identify, address and document risks.
7. Process improvement and project management:
• Liaise with businesses and stakeholders to clarify data needs and assess project feasibility.
• Perform tasks in accordance with quality or architecture requirements.
• Apply innovative data techniques to identify and solve pressing problems.
• Create and maintain advanced analytics platforms and tools.
• Create and maintain data pipelines to capture, clean and democratize information.
• Lead, design and create data architectures to support internal product development.
• Produce high-quality code and follow continuous integration and continuous deployment practices.
Job Requirements
Qualifications and experience
• Have a degree in Engineering (Mining Engineering, Industrial Engineering), Computer Science, Data Science, Software Development, Applied Mathematics, Statistics or a similar field.
• Have more than 8 years of experience in the mining industry.
• Have more than 5 years of experience in engineering, technology or a related field.
• Have 3+ years of experience in business improvement management in mining, engineering, technology or related field.
• Have 2+ years of experience in managing multi-functional, multinational project teams, implementing large and complex business or technology transformation programs, across multiple sites and over multiple years.
Technical skills.
• Have knowledge of SQL ( Structured Query Language ) applied.
• Have knowledge of Python, PySpark , RedPanda , Dagster , Kubernetes (developer), Docker.
• Have knowledge in Big Data and Cloud development, such as Databricks , Data Factory , Kafka, Spark, Hadoop and microservices .
• Have knowledge of Microsoft Power BI or a similar tool.
• Have knowledge of Application Lifecycle Management (ALM) platforms, such as JIRA, Azure DevOps or a similar tool.
• Have proficiency in development with Python, R, Java, C and/or C++.
• Have a mastery of API integration development.
Attitude / Behavior.
• Leadership and Team Management: Integrity, ethics, accountability, mentoring and coaching to build high-performing teams, and engaging others to achieve goals.
• Collaboration and diversity: Strong ability to work in a team, valuing diversity and empowering members to foster an environment of mutual learning.
• Strategic skills and problem solving: Strategic thinking, ability to solve complex problems using quantitative and qualitative approaches, and critical thinking to anticipate challenges.
• Adaptability and self-directed learning: Ability to quickly acquire new skills and adapt to dynamic environments, while managing multiple priorities effectively.
• Innovation and Quality: Business acumen, creativity, attention to detail and pride in delivering exceptional quality work.
IMPORTANT NOTICE
KCC SA does not accept applications submitted by persons under the age of eighteen (18). In accordance with article 1 of the Labor Code of the Democratic Republic of Congo, KCC SA receives all applications without distinction or discrimination. However, as part of its Equal Opportunity, Diversity, Equity and Inclusion program, applications from women are strongly encouraged.
In accordance with our Compliance Policy and Code of Conduct, KCC, its representatives and its workers do not receive any compensation or benefits of any kind at any stage of the recruitment process (application submission, application processing, tests and interviews for employment, medical examinations for employment, or induction, etc.). Any act of corruption or attempted corruption must be reported to the telephone number: +243 999928028 and will be severely punished.
Furthermore, KCC SA pursues the objective of a transparent, fair and equitable recruitment process and, therefore, does not tolerate any interference or intervention in any way whatsoever in its recruitment process. Any failure on this point will result in the immediate disqualification of the candidate concerned.
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