QA-QC Engineer

1- MISSION

To control, and monitor all activities related to the Quality Management System, QMS. To plan and prepare quality procedures. Upkeep the QA/QC documents of the entire project including certificates, calibration, inspection requests, non-compliance reports and site instruction/observations, materials delivered and other QA/QC related documentation. 

2- LINE AND STAFF RELATIONS

This role will report directly to the Director, Production and Operations. He/She has relation with:

•    All the local staff: Project Manager, Inspector
•    All the external entities necessary to his/her job execution

3- KEY RESPONSIBILITIES

•    Prepare Quality Procedures and Plans.
•    Coordinate and support in the review of as-built and shop drawings.
•    Ensure proper implementation of the Project Quality Procedures and formats in compliance to ISO 9001 “Quality Management System”.
•    Ensure that all works carried out are in compliance with the contract requirements.
•    Coordinate all QA/QC technical issues in order to facilitate the submission of method statements, inspection and test plans, etc. 
•    Monitor the progress and effectiveness of the project quality management system. Recommend and implement improvements when required.
•    Perform QA/QC review and update on the Project Specifications to ensure 

o    consistency with the contract drawings;  o    compliance with the latest versions of the local and international codes and standards; avoidance of ambiguities;  o    correctness/completeness of related references;  o    compliance with the project requirements in terms of format and consistency of terminologies.

•    Assess possible risk to ensure appropriate corrective actions and audits can be mandated in relation to the: 

o    systems requirements, development, deployment and handover;  o    consistent development and implementation of a systems assurance strategy and plan.

Site Supervision

•    Legibly and accurately record all rejects or non-complying works, materials and equipment as well as potential problems for early resolution. 
•    Provide guidance to the Subcontractors in the development of the Project Deliverables.
•    Review contractor’s deliverables
•    Carry out NCR closure by formulating appropriate responses, correspondences and follow through on issues of delays to Client and Subcontractors.

•    Prepare inspection test plans in coordination with the Senior QA/QC Engineer and Project QA/QC Manager in consultation with the construction team.
•    Coordinate all QA/QC activities with the site QA/QC Manager.
•    Report issues/problems encountered and participate in proposing a mitigation plan.

Digital and AI Tools Usage

-    Use company-approved digital and AI tools, where permitted, to support QA/QC workflows including document checks, audit preparation, NCR trend analysis, inspection checklists and reporting. -    Verify all AI-assisted outputs against the contract, project specifications, approved documents, applicable codes and professional engineering judgment before issue. -    Maintain confidentiality and data protection requirements: do not upload client, project, personal, commercially sensitive or controlled information to public or non-approved AI tools. -    Keep traceability of AI-assisted reviews, assumptions and prompts where relevant, and ensure all final QA/QC deliverables remain subject to human review and approval.

4- PROFILE SPECIFICATIONS

• Qualified Engineer (BSc Civil Engineering Degree or equivalent).

• 5- 8 years overall Construction experience – Airport experience is a plus.

• Certified lead Auditor in Quality Management Systems from IRCA Registered Certification Organization and shall have good knowledge and experience with ISO 9000 series requirements.

• Auditor training ISO 9001:2008 or 2015.

• Previous consultant experience.

• Good Communication Skills and good command in English language.

• Proficiency in MS Office and common QA/QC/document control platforms; ability to use dashboards, registers and AI-assisted tools for analysis and reporting is required. Awareness of responsible AI usage, data confidentiality, prompt discipline and validation of AI-generated outputs is required