Latest Jobs at Dangote Group

Job Summary

The ideal candidate for this role at Dangote Cement Plc will be responsible for the electrical maintenance of light motor vehicles (LMV) and heavy earth moving machines (HEMM).

Key Duties and Responsibilities

• Reading of electrical schematics, diagnose and repair heavy earth moving machines and light vehicles.
• To plan and carry out preventive and corrective maintenance of light vehicles and heavy earth oving machines.
• To train subordinate in order to ensure that electrical maintenance is done timely and correctly.
• To ensure proper housekeeping of job areas in the workshop and plant in general.
• To assist at ensuring adequate inventory and effective spare parts planning.  
• Ensure adherence to plant safety standards and regulations.
• To provide support for electrical technicians with strong capacity to use diagnostic tooling/software for light vehicles and equipment.
• Provide technical support and guidance to junior mechanics and technicians.
• To assist in planning and monitoring to ensure adequate vehicles and equipment availability.

Requirements

• Bachelor's degree or HND in Electrical Engineering or a related field.
• Proven experience as an electrical engineer or in a similar role with minimum of ten (10) years working experience.
• Strong knowledge of Electrical engineering principles, including electrical schematics, DC circuits, electrical diagnosis and materials science.
• In-depth knowledge of diagnostics tools, software, interpretations of electrical faults/codes/symbols and ability to read manuals.
• Creative thinking, innovation, advanced problem-solving and critical thinking/mathematical skills.
• Great interpersonal skills and teamwork abilities.
• Effective verbal and written communication, ability to write technical reports.
• Knowledge of SAP.
• Valid drivers' license.

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Job Summary

Dangote Cement Plc is seeking a proactive and results-driven IT Service Management Specialist to support the delivery of efficient IT services across its operations. The successful candidate will coordinate IT asset management activities, support procurement processes, monitor vendor performance, and drive the timely closure of IT projects and service requests.

The role requires a strong focus on service excellence, accountability, and operational efficiency, ensuring that IT assets, service providers, and support activities consistently meet business expectations and agreed service levels.

Key Responsibilities

IT Asset Management & Procurement Coordination

• Coordinate and validate IT asset requests from business units and plant locations.
• Raise and monitor Purchase Requisitions (PRs) in SAP for IT hardware, software, and services.
• Track procurement activities through the PR, PO, and GRN lifecycle to ensure timely delivery.
• Liaise with internal stakeholders and vendors to facilitate asset deployment and support.
• Maintain accurate tracking of asset requests and provide regular status updates.
• Support asset audits, reconciliation exercises, and CMDB/asset register accuracy.

Service Provider & SLA Management

• Monitor vendor performance against agreed Service Level Agreements (SLAs) and Key Performance Indicators (KPIs).
• Prepare service performance reports, scorecards, and dashboards.
• Identify service gaps, escalating non-compliance and recommending corrective actions.
• Support vendor review meetings and ensure action items are tracked to closure.

Project & Service Delivery Coordination

• Track open IT projects, work orders, and service requests to ensure timely completion.
• Maintain project and service delivery trackers and proactively resolve bottlenecks.
• Provide regular status reports highlighting risks, dependencies, and outstanding actions.
• Support root cause analysis and post-implementation reviews for major incidents or delayed projects.

IT Service & Technical Support

• Provide support for desktops, laptops, mobile devices, operating systems, and business applications.
• Manage and resolve IT incidents and service requests in line with agreed SLAs.
• Install, configure, troubleshoot, and maintain IT infrastructure components including printers, scanners, biometric devices, network connectivity, and Wi-Fi services.
• Support IT asset deployment, recovery, tracking, and compliance activities.
• Contribute to incident, problem, and change management processes within the ITSM framework.
• Support the continuous improvement of IT service management practices and documentation.
• Perform other duties as assigned by the Lead, IT Service Management.

Qualifications & Experience

Education

• Bachelor's Degree in Information Technology, Computer Science, Engineering, or a related field.

Experience

• Minimum of 5 years' experience in IT Service Delivery, IT Service Management, IT Asset Management, or a related IT operations role.
• Experience working within a large, multi-site organization is an advantage.
• Experience coordinating third-party vendors and field service resources is preferred.

Professional Certifications

• ITIL Foundation Certification is an added advantage.

Technical Knowledge

• Working knowledge of SAP procurement processes (PR/PO/GRN).

• Familiarity with ITSM platforms such as ServiceNow, Freshservice, or similar tools.

• Proficiency in Microsoft Excel and PowerPoint for reporting and analysis.

Competencies & Skills

• Strong ownership mindset with a bias for execution and closure.
• Excellent organizational and multitasking abilities.
• Strong stakeholder management and vendor coordination skills.
• Ability to hold internal and external service providers accountable for performance.
• Strong analytical skills with experience in SLA/KPI monitoring and reporting.
• Effective verbal and written communication skills.
• Strong follow-up, escalation, and problem-solving capabilities.
• Customer-focused approach to service delivery.
• Ability to manage multiple priorities in a fast-paced environment.

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Job Summary

A Hydraulic Specialist is responsible for Operation, Maintenance, Trouble Shooting of hydraulic systems for FLS Coolers, IKN Coolers, Loesche VRM and OK Mills. They utilize their expertise in fluid mechanics, physics, and engineering principles to analyze and develop sustainable solutions for bulk material handling equipment (Stacker and Reclaimer), kilns clinker Cooler hydraulic systems. This role plays a crucial part in the planning and implementation of various hydraulic engineering projects, ensuring efficiency, safety, and environmental sustainability. Exposure of Cement Plant Equipment Stacker Reclaimers, Rawmills, Kilns Coolers and Cement mill General Maintenance.

Key Duties and Responsibilities

• Operation and Maintenance, Trouble shooting of  hydraulic system Problems, including, Stacker luffing/hydraulic cylinders, hydraulic hose, directional control valves and proportionate valve, Cooler Hydraulic Drives, VRM Hydraulic System.
• Conducting feasibility studies, including trouble shooting and assessments, to determine the viability and potential impacts of hydraulic faults.
• Collaborating with other engineers and professionals to develop comprehensive hydraulic designs and engineering plans in ensuring equipment reliability and optimization.
• Identifying and evaluating potential risks and hazards associated with hydraulic systems, and implementing appropriate safety measures.
• Performing hydraulic calculations, simulations, and modelling to predict the behaviour and performance of equipment’s.
• Overseeing the construction and installation of hydraulic systems, ensuring compliance with design specifications and industry standards.
• Conducting inspections and assessments of existing hydraulic infrastructure, identifying maintenance or repair needs, and providing recommendations.
• Conducting research and staying updated on the latest advancements in hydraulic engineering technologies and methodologies.
• Managing budgets, timelines, and resources effectively to ensure plant success.
• Collaborating with clients, stakeholders, and regulatory bodies to ensure compliance with environmental regulations and permitting requirements.

Requirements

• Bachelor's degree in Mechanical Engineering, with Hydraulics Training/Hydraulics Special Course  or a related field. A Master's degree is preferred.
• Professional Engineer (P.E.) license is preferred.
• Above 15 years of experience in cement plant hydraulics Operation, maintenance and Trouble Shooting.
• Proven experience in hydraulic engineering, preferably in the design and maintenance of hydraulic systems.
• Knowledge of study of Hydraulic Circuits /hydraulic Notations and Symbols relevant software and tools used in hydraulic engineering, such as AutoCAD, Microsoft office and SAP Module.
• Strong mathematical and computational skills.
• Familiarity with environmental impact assessment processes and regulations.
• Excellent written and verbal communication skills.
• Experience in project management and working with multidisciplinary teams.
• Strong problem-solving and critical-thinking abilities.
• Ability to work effectively under pressure and meet deadlines.

Skills and Behaviours

• In-depth knowledge of hydraulic engineering principles and fluid mechanics.
• Proficiency in using computer-aided design (CAD) software and hydraulic modelling software.
• Strong analytical and problem-solving skills to assess complex hydraulic systems and propose effective solutions.
• Excellent in plant management and organizational skills to handle multiple task simultaneously.
• Effective communication and teamwork skills to collaborate with clients, colleagues, and stakeholders.
• Attention to detail and accuracy in designing and analyzing hydraulic systems.
• Strong knowledge of environmental regulations and sustainability principles.
• Ability to work independently and make informed decisions based on engineering principles and best practices.
• Familiarity with industry standards and codes related to hydraulic engineering.
• Ability to adapt to changing technologies and industry trends.

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Job Summary

• Check all incoming (Inbound) items / Receipts and validate the documents for inspection GRN.
• Ensure Gate pass is prepared for all materials leaving the plant to outside locations.
• Coordinate and ensure the activities of the receipt and issue bay are seamless, documented and posted.

Key Duties and Responsibilities

• Physically receive material from cargo or consignment and check the delivery notes (Waybill) with reference to Purchase order.
• Identify and resolve delivery discrepancies and variances and implement follow up action with Procurement to close the PO.
• Liaise with user departments to reconcile records especially on critical /insurance parts.
• Monitor and analyze store layout utilization and compliance. Ensure materials are stacked in their designated location.
• Track materials under Cross duck and ensure GRN and Store Issue Reservation are posted seamlessly.
• Prepare & process gate pass for approved material outward movement and proper documentation.
• Track STO transactions and ensure proper close out.
• Ensure all faulty credit stock / deliveries are returned to supplier in a timely manner.
• Any other duty may be assigned by the sectional head / Head of Stores.

Education and Work Experience

• BSc/HND in Computer Science/Statistics/Accounting/Purchasing & Supply.
• 2 - 3years’ working experience in stores & Inventory Management.
• Knowledge of ERP (SAP) is an added advantage

Skills and Competencies

• Proven working experience in bookkeeping & inventory management.
• Knowledge of SAP – MM & Microsoft Excel.
• Excellent team player.
• In-depth knowledge of stock handling.

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Job Summary

The Packing Plant Maintenance Specialist at Dangote Cement Plc Supports the Head of Packing Plant to oversee maintenance operations in cement packing and loading activities to ensure proper packing and timely loading of cement at the plant. Ensure packing plant activities comply with regulatory requirements and DCP specification to ensure preset quality standards are maintained.

Key Duties and Responsibilities

• Ensure that all maintenance packing plant activities are carried out efficiently and in a timely manner.
• Support to oversee the activities of all packing plant machine operators to ensure safety of personnel and appropriate utilisation of machines
• Oversee the implementation of approved packing plant plan at the plant to ensure established targets are met.
• Ensure that packing plant processes are implemented in line with agreed upon procedures and guidelines.
• Ensure clearance is received from the Head, Production and Head, Quality Control & Assurance before commencement of packing and loading of cement.
• Supervise the management of packing plant shift teams to ensure effective and efficient execution of packing plant activities and achievement of daily production targets.
• Ensure all maintenance issues at the packing plant are resolved immediately to ensure timely dispatch of cement and prevent damage/loss.
• Provide leadership and guidance to subordinates.
• Perform any other duties assigned by the Head Packing Plant (Operations & Maintenance).

Requirements

• Bachelor’s degree or its equivalent in Mechanical Engineering.
• Postgraduate/relevant professional qualification will be an added advantage.
• Minimum of fifteen (15) years relevant work experience with at least four (5) years at supervisory level.

Skill and Behaviours:

• In-depth knowledge of cement production process
• Excellent project management and leadership skills
• Good problem solving and analysis skills
• Ability to pay attention to details
• Good relationship management skills 
• In-depth knowledge of best practice in packing plant operations
• In-depth knowledge of the cement packing machines and their functions
• Proficiency in Microsoft Office Suite

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Job Summary

The Draftsman is responsible for preparing, modifying and maintaining accurate technical drawings, layouts and engineering documentation to support engineering, maintenance, construction and installation activities at the DSR Numan Plant. The role works closely with engineers, designers, contractors and other stakeholders to ensure drawings comply with approved specifications, engineering standards and safety requirements.

Key Responsibilities

• Prepare detailed technical drawings, layouts and engineering schematics based on specifications, measurements and engineering calculations.
• Develop and modify drawings using Computer-Aided Design and Drafting (CADD) software.
• Review engineering drawings to ensure accuracy, completeness and compliance with approved specifications and standards.
• Revise drawings to incorporate design changes, modifications and project requirements.
• Prepare drawings for equipment installation, plant modifications, construction and maintenance activities.
• Incorporate relevant safety requirements into engineering, installation and construction drawings.
• Collaborate with engineers, designers, contractors and other relevant stakeholders to clarify design requirements and resolve drawing-related issues.
• Conduct site measurements and inspections where required to ensure drawings accurately reflect existing plant conditions.
• Identify discrepancies, potential design or drafting issues and recommend appropriate remedial actions.
• Maintain accurate and up-to-date records of drawings, revisions and engineering documentation.
• Ensure proper version control and filing of engineering drawings and related documents.
• Provide drawings and technical documentation required for engineering projects, maintenance activities and plant improvements.
• Support the preparation of reports, data entry and other engineering documentation as required.
• Maintain confidentiality and integrity of engineering information and drawings.
• Ensure good housekeeping and compliance with applicable HSE requirements within the work area.
• Keep abreast of emerging drafting technologies, CADD software and industry practices.

Qualification & Experience

• HND/B.Sc. in Civil Engineering, Mechanical Engineering, Drafting Technology or a related discipline.
• Relevant professional certification or technical drafting qualification will be an added advantage.
• Proficiency in AutoCAD and other relevant CADD software.
• Relevant experience in engineering drafting, preferably within a manufacturing, industrial or plant environment.
• Good understanding of engineering drawings, layouts, dimensions and technical specifications.
• Knowledge of applicable engineering, construction and safety standards.
• 3-5 years experience in this role. Experience in manufacturing is an added advantage.

Core Competencies

• Technical Drawing & Drafting
• Computer-Aided Design (CAD)
• Attention to Detail
• Engineering Documentation
• Analytical & Problem-Solving Skills
• Accuracy & Quality Orientation
• Communication & Collaboration
• Time Management
• HSE Awareness
• Adaptability & Continuous Learning

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Job Summary:

• The Group Head: AI & Digital Transformation is responsible for defining and executing the Group’s enterprise-wide Artificial Intelligence and Digitisation strategy, translating emerging technologies 
  into measurable improvements in operational performance, reliability, productivity, safety, risk management and commercial value.
• The role will identify, prioritise and scale high-value AI and digital use cases across the Group’s industrial portfolio, including refining, petrochemicals, fertiliser, cement, manufacturing, mining/raw materials, logistics, transport, supply chain and corporate functions.
• The role will lead the development and deployment of AI-enabled solutions including machine learning, predictive and prescriptive analytics, computer vision, optimisation algorithms, generative AI, intelligent automation, digital twins and advanced decision-support systems.
• The Group Head will operate at the intersection of business, industrial operations, data, technology and AI, working closely with the GCRO, GCIO, business CEOs/MDs, plant leadership 
  and functional executives. The role will ensure that AI and digitisation investments move beyond experimentation to production-scale solutions with defined business outcomes, appropriate governance and measurable return on investment.
• AI & Digitisation is a centre-led Group capability, with execution embedded across business units and operating environments

Qualifications & Experience 

• Bachelor’s degree in Artificial Intelligence, Computer Science, Data Science, Machine Learning, Software Engineering, Computer Engineering, Electrical/Electronic Engineering, Robotics, 
• Mathematics, Statistics, Computational Science or related quantitative discipline.
• Master’s degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Engineering, Robotics or a related advanced technology discipline strongly preferred.
• Executive education in technology, innovation, digital transformation or business strategy would be advantageous.
• 10+ years’ relevant technology/data/AI experience, with meaningful leadership responsibility and evidence of deploying advanced technology into production environments.
• Demonstrable experience taking AI solutions from problem definition and data engineering through model development, deployment, monitoring and value realisation.
• Experience in industrial, energy, oil & gas, manufacturing, utilities, mining, logistics, infrastructure or other asset-intensive environments strongly preferred.
• Experience building or leading multidisciplinary teams comprising data scientists, ML engineers, data engineers, software engineers, product specialists and business/industrial SMEs.
• Demonstrable portfolio of successfully deployed AI/digital products with quantifiable operational or financial outcomes

Key Requirements

• Advanced understanding of machine learning, deep learning, generative AI, large language models and advanced analytics.
• Strong understanding of Python, SQL and modern AI/ML development environments; technical credibility sufficient to interrogate models, architectures and algorithms.
• Understanding of time-series modelling, forecasting, optimisation, anomaly detection and predictive modelling.
• Knowledge of computer vision, NLP, intelligent automation and agentic AI systems.
• Understanding of digital twins, IoT, edge computing, sensors and industrial data environments.
• Strong understanding of MLOps, model deployment, APIs, cloud platforms, data pipelines and model monitoring.
• Ability to apply AI to rotating equipment, process plants, production optimisation, asset integrity, reliability and industrial risk.
• Ability to translate complex industrial and business problems into mathematical, analytical and AI-solvable problems.
• Strong commercial orientation with ability to quantify ROI, productivity gains, avoided losses, downtime reduction and margin improvement.
• Strong understanding of AI governance, model risk, data privacy, cybersecurity and responsible AI.
• Exceptional strategic thinking, innovation, stakeholder influence and executive communication.
• Ability to challenge technology hype and distinguish between automation, analytics, digitisation and genuine AI applications.a

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Job Summary

• The Artificial Intelligence & Digital Transformation Analyst is responsible for supporting the identification, development, testing, deployment and performance monitoring of AI and digital solutions across the Group.
• Unlike a conventional business analyst role, this is intended to be a technically capable AI role. The Analyst will work with business and plant teams to understand operational problems, interrogate data, develop analytical and machine-learning models, test algorithms and support the conversion of successful prototypes into deployed solutions.
• The role will work across industrial operations, machinery, maintenance, production, logistics, transport, commercial and corporate functions, supporting the Group’s ambition to use AI and digitisation to improve productivity, reliability, safety, resilience and decision-making.

Job Responsibilities

• Identify business and operational problems suitable for AI and digital solutions.
• Work with business and plant teams to understand operational challenges and requirements.
• Analyse and interrogate data to support AI and machine-learning initiatives.
• Develop, test and evaluate analytical and machine-learning models.
• Support the development and deployment of AI and digital solution prototypes.
• Monitor the performance of deployed AI and digital solutions.
• Apply AI, machine learning and advanced analytics to improve productivity, reliability, safety and decision-making.
• Translate technical outputs into clear operational and commercial recommendations.
• Work closely with engineers, operators and plant leadership across the Group.
• Support the Group AI & Digitisation programme and its implementation across business units and plants.

Requirements

Qualifications & Experience

• Bachelor’s degree in Artificial Intelligence, Machine Learning, Computer Science, Data Science, Software Engineering, Computer Engineering, Electrical/Electronic Engineering, Robotics, Mathematics, Statistics or related quantitative discipline.
• Master’s degree in AI, Machine Learning, Data Science or related field would be advantageous.
• Relevant practical certifications in machine learning, cloud AI, data engineering, MLOps or industrial analytics would be advantageous.
• 3 - 6 years’ relevant experience in AI, data science, machine learning, advanced analytics or digital product development.
• Evidence of hands-on model development, whether through commercial deployments, research, engineering projects or a strong technical portfolio.
• Exposure to manufacturing, industrial, energy, logistics or other asset-intensive environments would be advantageous

Functional & Technical Competencies

• Strong working capability in Python and SQL.
• Practical experience with modern machine-learning frameworks and libraries.
• Ability to develop regression, classification, clustering, forecasting and anomaly-detection models.
• Understanding of neural networks/deep learning and generative AI/LLMs.
• Exposure to computer vision and image/video analytics.
• Understanding of time-series and industrial sensor data.
• Ability to design, train, test and evaluate machine-learning models and algorithms.
• Understanding of APIs, databases, data pipelines, cloud platforms and MLOps principles.
• Exposure to IoT/IIoT, industrial automation, digital twins or OT environments would be highly advantageous.
• Strong analytical and mathematical problem-solving capability.
• Ability to translate technical outputs into clear operational and commercial recommendations.
• Strong curiosity and experimentation mindset, balanced by disciplined model validation and governance.
• Ability and willingness to work directly with engineers, operators and plant leadership at operating sites.