Engineer – Production & Production Systems Optimization

About the role

Qualifications and experience

• Bachelor’s degree in Engineering, Information Technology, Petroleum Engineering, Process Engineering, or a related discipline.
• Minimum 10 years of relevant professional experience, including at least 7 years 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, problem-solving, communication, collaboration, and stakeholder management skills.
• Interest in digital oilfield technologies, advanced analytics, AI, and operational optimization tools.

Key competencies

• Production systems engineering and facility performance management.
• Production planning, scheduling, forecasting, and optimization; production deferment management and loss analysis.
• Real-time production monitoring, performance surveillance, 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 improve production planning, forecasting, scheduling, and deferment management processes.
• Develop short-, medium-, and long-term production plans and prepare daily, monthly, quarterly, and annual forecasts.
• Analyze planned versus actual production and recommend corrective actions.
• Incorporate shutdowns, maintenance, operational constraints, and facility capacities into planning models.
• Monitor well, asset, and facility performance; identify bottlenecks, inefficiencies, and production losses.
• Recommend production optimization, debottlenecking, and operational improvements.
• Support real-time production monitoring systems, data historians, dashboards, KPIs, scorecards, and management reporting.
• Integrate production monitoring and planning with business systems.
• Support advanced analytics, machine learning, and digital transformation initiatives; participate in deploying AI-enabled production solutions.
• Conduct scenario modelling and production sensitivity studies to support decisions.
• Collaborate with Operations, Maintenance, Planning, Commercial, Digital, and IT teams.

Additional requirements