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