Engineer – Production & Production Systems Optimization

About the Role

We are looking for an accomplished Engineer specializing in Production and Production Systems Optimization to enhance production planning, forecasting, performance monitoring, and drive operational improvements within a complex industrial setting. The selected candidate will be instrumental in boosting production efficiency, refining asset performance, advancing digital transformation efforts, and utilizing sophisticated analytics to achieve operational excellence.

Qualifications & Experience

• Possesses a Bachelor's degree in Engineering, Information Technology, Petroleum Engineering, Process Engineering, or a related field.
• Has a minimum of 10 years professional experience relevant to the role.
• Includes at least 7 years of experience in sectors such as Oil & Gas, LNG, Petrochemical, Energy, Utilities, or similar process-driven industries.
• Demonstrates a solid grasp of production systems, wells, processing facilities, and operational limitations.
• Familiar with production planning software, hydrocarbon accounting procedures, and real-time production monitoring platforms.
• Exhibits strong analytical thinking, troubleshooting abilities, and problem-solving skills.
• Excellent communication, teamwork, and stakeholder management capabilities.
• Shows a keen interest in digital oilfield technologies, advanced data analytics, artificial intelligence, and tools for operational optimization.

Key Competencies

• Engineering of production systems and managing facility performance.
• Expertise in production planning, scheduling, forecasting, and optimization techniques.
• Handling production deferments and performing loss analyses.
• Managing real-time production monitoring and surveillance systems.
• Expertise in production data analysis and supporting operational decisions.
• Understanding of hydrocarbon value chains and operations.
• Knowledge of mass balance, resource allocation, and production accounting concepts.
• Experience with digital oilfield technology platforms, industrial data solutions, analytics, and AI applications.
• Ability to coordinate cross-functionally between Operations, Planning, Commercial, and Digital teams.

Primary Responsibilities

• Evaluate and optimize production planning, forecasting, scheduling, and deferment processes adhering to industry standards.
• Create production plans for short, medium, and long-term horizons balancing operational and commercial needs.
• Generate forecasts on daily, monthly, quarterly, and annual bases.
• Analyze discrepancies between planned and actual production to recommend improvements.
• Incorporate maintenance shutdowns, operational constraints, and facility capacity into planning models.
• Oversee performance of wells, assets, and facilities to identify constraints, inefficiencies, and production losses.
• Propose initiatives for production optimization, bottleneck removal, and operational enhancements.
• Manage real-time monitoring systems, data storage, and operational dashboards.
• Develop and sustain production performance indicators, scorecards, and reporting tools for management.
• Ensure integration of production monitoring with planning and business information systems.
• Support digital transformation efforts, including advanced analytics and machine learning aimed at enhancing production efficiency.
• Participate in deploying AI-driven solutions for forecasting, optimization, and deferment analysis.
• Conduct scenario modeling and sensitivity studies to aid informed decision-making.
• Collaborate with diverse departments such as Operations, Maintenance, Planning, Commercial, Digital, and IT to maintain production and business alignment.

Additional Requirements

• Deep understanding of operational excellence, production performance management, and continuous improvement methodologies.
• Prior experience working within multidisciplinary and diverse cultural environments.
• Willingness to perform both office-based tasks and fieldwork or site visits as needed.
• Candidates will undergo technical and competency-based evaluations during the hiring process.