Guildhall is currently supporting a leading engineering company in Doha, Qatar on major road infrastructure and pavement asset management projects. We are currently recruiting for an experienced Pavement Data Collection / Processing Engineer to join their growing team. This is a key role responsible for processing, validating, and quality checking pavement condition data while ensuring the highest standards of accuracy, compliance, and technical excellence across pavement survey projects. Key Responsibilities: - Process, validate, and analyze pavement condition data collected from automated survey systems, ensuring accuracy, consistency, and compliance with project specifications. - Perform QA/QC reviews of pavement data, identify discrepancies, implement corrective actions, and maintain high-quality documentation throughout project delivery. - Conduct pavement condition assessments, evaluate pavement distresses, and support pavement asset management in accordance with ASTM D6433, LTPP, and PCI standards. - Utilize LCMS-2, ROMDAS, Data View, PMS, and GIS platforms (ArcGIS/QGIS) to process, manage, and visualize pavement survey data. - Collaborate with project teams to prepare technical reports, provide project updates, and support the successful delivery of pavement engineering projects.

-Bachelor's Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline -5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management -Strong experience in QA/QC of processed pavement condition data and pavement distress rating -Hands-on experience with LCMS-2 is essential -Experience reviewing and validating pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness -Good understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred) -Familiarity with ROMDAS, Data View, or similar pavement data processing software -Experience with Pavement Management Systems (PMS) is highly desirable -GCC or international pavement survey project experience is preferred -Experience with ARAN, Hawkeye, or other pavement data collection systems is an advantage -Knowledge of ArcGIS or QGIS is beneficial -Basic Python or R scripting skills for data validation or automation are a plus