SME Process Engineering

Job Requirements

At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Key Responsibilities

Role Purpose

The Process Engineering SME will serve as the technical lead supporting deployment, operational monitoring, sustainment, and continuous value realization of AVEVA Predictive Analytics and Process Optimisation solutions deployed across customer operations in the Middle East region.

The role combines deep process engineering expertise with operational optimization and predictive analytics advisory capabilities to ensure predictive and optimization models deliver measurable improvements in throughput, energy efficiency, process stability, production optimization, and operational performance.

The SME will work closely with customer operations, process engineering, production, control room, reliability, and digital teams throughout the solution lifecycle — from model development and deployment through operational monitoring, optimization, and long-term sustainment.

The role is responsible for translating AI-generated operational advisories and optimization insights into actionable process improvements that maximize production efficiency, reduce energy consumption, and improve plant performance.

Key Responsibilities

Solution Deployment & Model Enablement

• Support end-to-end deployment and operationalization of AVEVA predictive analytics and process optimization solutions across customer facilities in the Middle East region.
• Provide process engineering subject matter expertise during asset onboarding, solution configuration, and model development phases.
• Work closely with analytics, data science, product, and delivery teams to ensure predictive and optimization models accurately reflect:
• Process operating conditions
• Heat and mass balance relationships
• Equipment performance characteristics
• Process constraints
• Operating envelopes and plant limitations
• Support asset criticality assessments, use case definition, and identification of high-value optimization opportunities for:
• Separators
• Compressors
• Heat exchangers
• Gas processing systems
• NGL processing units
• Utility and process systems
• Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.
• Correlate predictive and optimization model outputs with operational and process data including:
• Process trends
• Throughput data
• Energy consumption
• Product quality parameters
• DCS/APC data
• Historical operating records
• Validate model outputs against actual plant behaviour, process constraints, and operating conditions to improve model accuracy and reliability.
• Support model recalibration activities when process conditions change due to:
• Well decline
• Feed composition shifts
• Equipment modifications
• Operational strategy changes
• Provide engineering input to support expansion of optimization coverage to additional process units and facilities.
  
  

Predictive Monitoring, Sustainment & Value Realization

• Review and manage daily process optimization advisories and predictive alerts for deployed process systems and assets.
• Assess feasibility of model-recommended set-point changes against current operational constraints, production targets, and safety requirements.
• Validate optimization recommendations for:
• Separators
• Compressors
• Heat exchangers
• Gas processing units
• Utility systems
• Other critical process equipment
• Investigate process anomalies and inefficiencies identified by deployed AVEVA solutions and determine whether alerts represent:
• Genuine process inefficiencies
• Equipment performance degradation
• Process instability
• Model artefacts or data quality issues
• Perform root cause analysis (RCA) for process deviations, optimization gaps, and performance losses.
• Work closely with customer operations teams and control room personnel to safely implement operational advisories and optimization recommendations.
• Monitor implementation outcomes and provide operational feedback to analytics and model teams for continuous optimization improvement.
• Ensure predictive and optimization models remain aligned with actual operating conditions, process behaviour, and production strategies throughout the sustainment lifecycle.
• Act as the primary technical focal point during sustainment and managed service phases for assigned process optimization portfolios.
• Support continuous improvement, model refinement, and enhancement of predictive and optimization effectiveness.
• Track and report operational and value realization KPIs including:
• Throughput improvement
• Energy consumption reduction
• Product quality improvements
• Flaring reduction
• Process stability enhancement
• Production optimization benefits
• Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.
• Provide operational feedback and engineering recommendations to analytics, product, and delivery teams to improve solution performance and customer outcomes.
• Support long-term customer adoption, sustainment, and continuous business value realization from deployed predictive analytics and optimization solutions.
• Conduct periodic visits to customer plants, operational facilities, control rooms, and industrial sites to support deployment activities, process assessments, optimization reviews, advisory validation, and stakeholder engagement.
  
  

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience

Required Qualifications

• Bachelor’s degree in Chemical Engineering or related engineering discipline.
• Minimum 10 years of process engineering experience within oil & gas upstream, gas processing, refining, petrochemical, or industrial process environments.
• Direct experience with:
• Separation systems
• Gas compression systems
• NGL processing units
• Process optimization and operational troubleshooting
• Strong understanding of:
• Heat and mass balance principles
• Process performance analysis
• Production optimization
• Process constraints and operating envelopes
• Familiarity with process simulation tools such as:
• Aspen HYSYS
• Pro/II
• Equivalent process simulation platforms
• Experience translating optimization model outputs into operational guidance for plant operations and control room teams.
• Familiarity with DCS, APC, or real-time optimization environments preferred.
• Experience interpreting operational data from SCADA, PI Historian / OSIsoft, or equivalent industrial systems.
• Familiarity with predictive analytics platforms, industrial AI systems, or digital optimization solutions preferred.
• Middle East or GCC operating environment experience preferred.
  
  

Preferred Certifications

• Process optimization or APC-related certifications advantageous
• Energy management or operational excellence certifications preferred
  
  

Preferred Industry Experience

• Oil & Gas operators in the Middle East region
• Upstream production facilities
• Offshore operations
• Gas processing plants
• Refineries and petrochemical facilities
• LNG and industrial energy operations
  
  

Key Skills & Competencies

• Process optimization and troubleshooting
• Heat and mass balance analysis
• Production and energy efficiency optimization
• Process simulation and modelling
• Operational advisory validation
• Root Cause Analysis (RCA)
• Process data interpretation and analytics validation
• Technical governance and stakeholder engagement
• Cross-functional collaboration and advisory capability

---