Introduction

  • The Optimization Engineer is responsible for identifying, developing, and implementing optimization opportunities to improve operational efficiency, performance, reliability, and profitability.
  • The role involves analyzing complex data, developing models, and collaborating with cross‑functional teams to optimize processes, systems, and workflows while ensuring safety, quality, and regulatory compliance.

About this role

  • Identify and evaluate optimization opportunities across operations, processes, or systems to enhance performance, efficiency, and cost effectiveness.
  • Develop, maintain, and apply optimization models, simulations, and analytical tools to support operational and strategic decision‑making.
  • Analyze real‑time and historical data to detect inefficiencies, performance gaps, and improvement areas.
  • Monitor key performance indicators (KPIs) and recommend corrective actions to ensure optimal performance.
  • Support operational troubleshooting by performing root cause analysis and proposing sustainable solutions.
  • Collaborate with operations, engineering, maintenance, planning, and commercial teams to implement optimization initiatives.
  • Conduct techno‑economic evaluations to assess feasibility, risks, and benefits of optimization projects.
  • Ensure all optimization activities comply with safety, environmental, and quality standards.
  • Prepare technical reports, dashboards, and presentations to communicate findings and recommendations to stakeholders.
  • Stay updated on industry best practices, emerging technologies, and optimization methodologies.

Is this you?

  • Bachelor's degree in Engineering (Chemical, Mechanical, Electrical, Petroleum, Industrial, or related discipline).
  • Master's degree in Engineering, Data Analytics, or Operations Research is an advantage.
  • Relevant professional certifications or specialized training in optimization, process engineering, or data analytics are a plus.
  • Strong knowledge of optimization techniques, process improvement, and system performance analysis.
  • Experience with modeling, simulation, or optimization software/tools.
  • Ability to analyze large data sets and convert insights into actionable recommendations.
  • Understanding of operational workflows, engineering systems, and industry standards.

What we offer 

  • Salary:
    • Day Rate in USD
  • Work Schedule:
    • 12 Hours / Day
    • 28 Days On / 28 Days Off
  • Duration:
    • 1 year, with possible extension
  • Location:
    • Qatar

Closing: 18 March 2026

Do you have questions?

Vacancy reference: CR-278943

DS

Corporate recruiter

Dhirendra Singh

Contact