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SME – Process Engineering

Quest Global
Abu Dhabi, UAE
Full Time
Senior
Field
1 months ago
Process EngineeringAVEVA Predictive AnalyticsProcess OptimizationAspen HYSYSHeat and Mass BalanceRoot Cause Analysis
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Process EngineeringAVEVA Predictive AnalyticsProcess Optimization
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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.

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, and operating envelopes.
  • 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, and 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, and 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, or 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, and 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, or model artefacts.
  • 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, and production optimization benefits.
  • Participate in governance meetings, technical reviews, workshops, and value realization sessions with customer stakeholders and project teams.

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, or 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.

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