Senior EPC Review Engineer Data Center Projects

Mercor; Dubai; Remote; AED 506,000 - 708,000; Part time

Job summary

Mercor is seeking experienced engineering, procurement, and construction professionals for a technical peer-review role focused on data-center projects. You will assess project-delivery, repair gaps in task materials, and ensure outputs reflect EPC practice.

Responsibilities include reviewing design coordination, procurement data, bid packages, and field engineering; checking interfaces and schedules; identifying ambiguities; and producing clear findings with validated tasks end-to-end.

Qualifications

• 2+ years of experience delivering data centers or similar complex capital projects.
• Experience in EPC, design-build, or construction-management environments.
• PE, PMP, CCM, or commissioning credentials preferred where relevant.
• Ability to interpret large document sets and explain technical issues clearly in writing.

Responsibilities

• Review long-horizon tasks involving design coordination, procurement data, bid and issued drawing packages, EOR revisions, constructability, temporary works, 4D sequencing, field engineering, commissioning, and handover.
• Check scope interfaces, technical requirements, schedule logic, equipment and material constraints, document control, construction methods, and acceptance criteria.
• Identify ambiguity, conflicting source documents, missing constraints, or unrealistic deliverables.
• Improve task prompts, supporting artifacts, acceptance criteria, rubrics, and programmatic checks.
• Produce clear technical findings and validate corrected tasks end to end.

Job description

Mercor is seeking experienced engineering, procurement, and construction professionals for a technical peer-review role focused on data-center projects. You will assess project-delivery, repair gaps in task materials, and ensure outputs reflect EPC practice.

Responsibilities include reviewing design coordination, procurement data, bid packages, and field engineering; checking interfaces and schedules; identifying ambiguities; and producing clear findings with validated tasks end-to-end.