Refinery Process Simulation Twin & Optimization Engineer

Aramco; Castilla y León; On-site; EUR 95,000 - 190,000; Full time

Job summary

Aramco seeks an experienced Process Simulation Twin (PST) and Optimization Engineer to join the Reliability Solutions Department. You will deploy and sustain online process twins, merge real-time data with rigorous models, and drive AI-enabled optimization across refinery assets.

Required are a Chemical Engineering degree and 15–20 years in process simulation, online modeling, or real-time optimization, with strong data reconciliation and historical data integration skills.

Qualifications

• Bachelor's degree in Chemical Engineering is required.
• Minimum 15 years in Process Simulations or Real-Time Optimization; 20 years preferred.
• Experience linking simulations to live data sources and data reconciliation.

Responsibilities

• Lead development and sustainment of process twins integrating real-time data with simulation engines.
• Configure connectivity between historians, information systems and simulation software.
• Monitor facility health and identify opportunity gaps via automated PST analysis.
• Develop thermodynamic models and equations representing process behavior.
• Lead debottlenecking and what-if studies for major process units.
• Act as liaison between data teams and Operations/Process Engineering.
• Share best practices and lead technical sessions on model architecture and data quality.

Skills

Process simulation

Online modeling

Real-time optimization

Data reconciliation

Education

Bachelor's degree in Chemical Engineering

Tools

ROMeo

Job description

Aramco seeks an experienced Process Simulation Twin (PST) and Optimization Engineer to join the Reliability Solutions Department. You will deploy and sustain online process twins, merge real-time data with rigorous models, and drive AI-enabled optimization across refinery assets.

Required are a Chemical Engineering degree and 15–20 years in process simulation, online modeling, or real-time optimization, with strong data reconciliation and historical data integration skills.