Engineer – Production & Production Systems Optimization

Vulcain Engineering Group; Abu Dhabi Emirate; On-site; AED 360,000 - 600,000; Full time

Job summary

Vulcain Engineering Group in United Arab Emirates is seeking an experienced Engineer – Production & Production Systems Optimization to enhance production planning, forecasting, performance monitoring, and operational optimization in a complex industrial environment.

The successful candidate will drive digital transformation, leverage advanced analytics and AI to maximize efficiency, support asset performance, and ensure tight integration between production monitoring and planning systems.

Qualifications

• Bachelor’s degree in Engineering, IT, Petroleum or Process Engineering.
• 10+ years of relevant professional experience.
• 7+ years in Oil & Gas or similar process industries.
• Strong knowledge of production systems and facilities.
• Experience with production planning tools and real-time monitoring.
• Analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management.
• Interest in digital oilfield, AI, and analytics.
• Experience with integration of production vs planning systems.

Responsibilities

• Review and optimize production planning, forecasting, scheduling, and deferment management.
• Develop short-, medium-, and long-term production plans.
• Prepare daily, monthly, quarterly, and annual production forecasts.
• Analyze variances and propose corrective actions.
• Integrate shutdowns, maintenance into planning models.
• Monitor well and asset performance to identify bottlenecks.
• Recommend production optimization and debottlenecking initiatives.
• Support real-time monitoring systems and dashboards.
• Develop production KPIs, scorecards, and reports.
• Ensure integration between monitoring, planning, and business systems.
• Support AI-enabled forecasting and optimization initiatives.
• Conduct scenario modelling and sensitivity studies.
• Collaborate with Operations, Maintenance, Planning, Commercial, Digital, and IT.

Skills

Production planning

Forecasting

Performance monitoring

Data analytics

AI analytics

Cross-functional coordination

Digital oilfield

Problem solving

Stakeholder management

Communication

Education

Bachelor's degree

Tools

Monitoring platforms

Job description

We are seeking an experienced Engineer – Production & Production Systems Optimization to support production planning, forecasting, performance monitoring, and operational optimization within a complex industrial environment. The successful candidate will play a key role in maximizing production efficiency, improving asset performance, supporting digital transformation initiatives, and leveraging advanced analytics to drive operational excellence.

Qualifications & Experience

• Bachelor’s degree in Engineering, Information Technology, Petroleum Engineering, Process Engineering, or a related discipline.
• Minimum 10 years of relevant professional experience.
• At least 7 years of experience in Oil & Gas, LNG, Petrochemical, Energy, Utilities, or other process industries.
• Solid understanding of production systems, wells, process facilities, and operational constraints.
• Familiarity with production planning tools, hydrocarbon accounting systems, and real-time production monitoring platforms.
• Strong analytical, troubleshooting, and problem-solving capabilities.
• Excellent communication, collaboration, and stakeholder management skills.
• Interest in digital oilfield technologies, advanced analytics, AI, and operational optimization tools.
• Production systems engineering and facility performance management.
• Production planning, scheduling, forecasting, and optimization.
• Production deferment management and loss analysis.
• Real-time production monitoring and performance surveillance systems.
• Production data analytics and operational decision support.
• Understanding of hydrocarbon value chains and production operations.
• Knowledge of mass balance, allocation, and production accounting principles.
• Digital oilfield technologies, industrial data platforms, analytics, and AI applications.
• Cross-functional coordination between Operations, Planning, Commercial, and Digital teams.

Key Responsibilities

• Review and enhance production planning, forecasting, scheduling, and deferment management processes in line with industry best practices.
• Develop short-, medium-, and long-term production plans that balance operational capabilities with business requirements.
• Prepare daily, monthly, quarterly, and annual production forecasts.
• Analyse variances between planned and actual production performance and recommend corrective actions.
• Integrate shutdowns, maintenance activities, operational constraints, and facility capacities into production planning models.
• Monitor well, asset, and facility performance to identify bottlenecks, inefficiencies, and production losses.
• Recommend production optimisation, debottlenecking, and operational improvement initiatives.
• Support and maintain real-time production monitoring systems, data historians, and operational dashboards.
• Develop and maintain production performance KPIs, scorecards, and management reporting tools.
• Ensure seamless integration between production monitoring, planning, and business systems.
• Support advanced analytics, machine learning, and digital transformation programmes aimed at improving production efficiency.
• Participate in the deployment of AI-enabled solutions for forecasting, production optimisation, and deferment analysis.
• Conduct scenario modelling and production sensitivity studies to support decision-making.
• Collaborate closely with Operations, Maintenance, Planning, Commercial, Digital, and IT teams to ensure alignment of production objectives and business priorities.

Additional Requirements

• Strong understanding of operational excellence, production performance management, and continuous improvement practices.
• Experience working in multidisciplinary and multicultural project or operational environments.
• Ability to support both office-based and field/site activities when required.
• Candidates will be subject to technical and competency-based assessments as part of the recruitment process.