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SME – Electrical Systems

Quest Global

Abu DhabiOn-siteFull-Time2w ago

Description

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

Solution Deployment & Model Enablement

  • Support end-to-end deployment and operationalization of AVEVA predictive analytics and asset performance solutions across customer facilities in the Middle East region.
  • Provide electrical 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 models accurately reflect:
  • Asset operating behaviour
  • Electrical system design
  • Maintenance strategies
  • Failure modes
  • Operating envelopes and site conditions
  • Support asset criticality assessments, use case definition, and identification of high-value monitoring opportunities for:
  • HV/MV switchgear
  • Transformers
  • Motors
  • Variable Frequency Drives (VFDs)
  • Electrical rotating equipment
  • Distribution systems and substations
  • Participate in model validation, alert tuning, calibration, and user acceptance testing (UAT) activities prior to go-live.
  • Correlate predictive model outputs with operational and condition monitoring data including:
  • Thermographic survey results
  • Partial discharge monitoring trends
  • Insulation resistance testing results
  • Transformer oil analysis
  • Power quality measurements
  • Historical maintenance and fault records
  • Validate model outputs against known equipment behaviour, maintenance history, and operational conditions to improve model accuracy and reliability.
  • Provide engineering input to support expansion of predictive monitoring coverage to additional electrical assets and facilities.

Predictive Monitoring, Sustainment & Value Realization

  • Monitor and manage predictive anomaly alerts for deployed electrical assets and systems.
  • Assess alert severity, validate operational impact, and recommend appropriate prioritization and corrective actions.
  • Identify early indicators of:
  • Insulation degradation
  • Electrical overloading
  • Harmonic distortion
  • Voltage imbalance
  • Partial discharge activity
  • Motor winding deterioration
  • Recommend proactive maintenance and operational interventions prior to equipment failure or system instability.
  • Collaborate with customer maintenance, reliability, operations, inspection, and engineering teams to plan and execute preventive and corrective activities including:
  • Infrared scanning
  • Insulation resistance testing
  • Transformer oil sampling and analysis
  • Partial discharge inspections
  • Power quality investigations
  • Review, validate, and operationalize AI/analytics-driven recommendations generated through deployed AVEVA solutions.
  • Support root cause analysis (RCA), electrical reliability improvement initiatives, and continuous optimization of maintenance strategies.
  • Ensure predictive models remain aligned with actual operating conditions, maintenance practices, and asset behaviour throughout the sustainment lifecycle.
  • Act as the primary technical focal point during sustainment and managed service phases for assigned electrical asset portfolios.
  • Support continuous improvement, model refinement, and enhancement of predictive monitoring effectiveness.
  • Track and report reliability and value realization KPIs including:
  • Transformer trips avoided
  • Deferred motor failures
  • Reduced electrical downtime
  • Energy efficiency improvements
  • Reduced maintenance costs
  • Participate in governanc

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