Senior Process Engineer — EDX & Digitalization
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Key skills for this role
About the Role
Yokogawa seeks a Senior Process Engineer to lead process engineering deliverables for EDX & Digitalization projects, including OTS, APC/MPC, digital twin, and data-driven optimization.
Key Skills for This Role
Responsibilities
- Lead process engineering deliverables across the full EDX project lifecycle — OTS, APC/MPC, digital twin, and data driven optimisation
- Develop and validate high fidelity dynamic and steady state simulation models using Petro SIM, OmegaLand
- Build OTS environments integrating process models with DCS replicas (Yokogawa, Honeywell, Emerson, or equivalent)
- Design OTS training scenarios and develop supporting malfunction libraries, instructor guides, and trainee assessment frameworks
- Apply deep knowledge of O&G and Refinery unit operations to develop engineering basis documents, interpret PFDs/P&IDs/H&MBs
- Support APC/MPC and optimisation project delivery: CV/MV/DV definition, step test planning, process response interpretation
- Liaise with client DCS teams to ensure simulation compatibility; support I/O mapping, interlock verification, and FAT/SAT activities
- Contribute process domain knowledge to IT OT convergence and digital twin initiatives
- Represent the company at client kick off meetings, technical design reviews, and FAT/SAT milestones
Requirements
- Bachelor's degree in Chemical Engineering or Process Engineering
- 7 to 12 years of professional experience in process engineering
- Hands on experience with dynamic and/or steady state process simulation tools (HYSYS Dynamics, Petro SIM, OmegaLand, DYNSIM, Aspen Plus, or equivalent)
- Direct experience with OTS development, model validation, or simulation based training projects
- Strong working knowledge of Oil & Gas and/or Refinery process operations and unit operations
- Solid understanding of process dynamics and their relationship to control system design and simulation behaviour
- Demonstrated ability to deliver technical work to schedule and quality in a project environment
- Effective client facing communication skills in English
Full Job Posting
About the Role
- As a Process Engineer within the EDX & Digitalisation team, you will be the process domain authority on client projects — applying deep O&G and Refinery process knowledge to simulation development, control optimisation, and digital transformation engagements.
- You will bridge the gap between classical process engineering and digital technologies, working within a technically elite, multi disciplinary team.
Key Responsibilities
- Lead process engineering deliverables across the full EDX project lifecycle — OTS, APC/MPC, digital twin, and data driven optimisation — from scope definition through model development, validation, and client sign off.
- Develop and validate high fidelity dynamic and steady state simulation models using Petro SIM, OmegaLand; build OTS environments integrating process models with DCS replicas.
- Design OTS training scenarios — normal operations, start up, shutdown, emergency response, and process upsets — and develop supporting malfunction libraries, instructor guides, and trainee assessment frameworks.
- Apply deep knowledge of O&G and Refinery unit operations to develop engineering basis documents, interpret PFDs/P&IDs/H&MBs.
- Demonstrate applied understanding of process dynamics — dead time, lag, gain, interaction effects — translating dynamic process behaviour into OTS scenario parameters, APC model requirements, and controller tuning inputs.
- Support APC/MPC and optimisation project delivery: CV/MV/DV definition, operating constraint limits, step test planning, process response interpretation, and identification of optimisation opportunities.
- Liaise with client DCS teams to ensure simulation compatibility with DCS replica architecture; support I/O mapping, interlock verification, and FAT/SAT activities.
- Contribute process domain knowledge to IT OT convergence and digital twin initiatives — informing data architecture, OT connectivity design, and historian integration strategies.
- Apply awareness of AI/ML concepts — soft sensors, anomaly detection, predictive maintenance, and data driven optimisation — to contextualise AI outputs within a process engineering framework.
- Represent the company at client kick off meetings, technical design reviews, and FAT/SAT milestones; maintain strong working relationships with client discipline engineers.
Essential Qualifications & Experience
- Bachelor’s degree in Chemical Engineering or Process Engineering from a recognised university.
- 7 to 12 years of professional experience in process engineering, with a track record in process simulation and/or project delivery.
- Proven hands on experience with dynamic and/or steady state process simulation tools (HYSYS Dynamics, Petro SIM, OmegaLand, DYNSIM, Aspen Plus, or equivalent).
- Direct experience with OTS development, model validation, or simulation based training projects.
- Strong working knowledge of Oil & Gas and/or Refinery process operations and unit operations.
- Solid understanding of process dynamics and their relationship to control system design and simulation behaviour.
- Demonstrated ability to deliver technical work to schedule and quality in a project environment.
- Effective client facing communication skills — written and verbal — in English.
Preferred / Advantageous
- Prior experience working within a global automation OEM, major EPC contractor, or specialist engineering consultancy in a project delivery capacity.
- UAE or GCC regional experience — familiarity with local O&G operators, project execution norms, and client protocols.
- Practical plant operations or commissioning experience at an O&G or Refinery facility.
- Working knowledge of DCS systems deployed in UAE O&G facilities (Yokogawa, Honeywell, Emerson, ABB, or equivalent).
- Exposure to APC/MPC project delivery — step testing, model identification, controller commissioning, or performance monitoring.
- Awareness or hands on experience with AI/ML applications in process industries — soft sensors, predictive analytics, anomaly detection, or data driven optimisation.
- Familiarity with industrial IoT, cloud platforms (AWS, Azure, or equivalent), or data analytics tools used in OT environments.
- Familiarity with process data historians (OSIsoft PI, Yokogawa Exaquantum, AspenWatch) for model validation and performance analysis.
Equal Opportunity
- Yokogawa is an Equal Opportunity Employer. We will not discriminate based on race, skin color, age, sex, gender identity and expression, sexual orientation, religion, belief, political opinion, nationality, ethnicity, place of origin, disability, family relations or any other circumstances.
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