About the Role
Guildhall is currently looking for an experienced Pavement Data Collection / Processing Engineer to join a leading engineering consultancy delivering major pavement asset management and road infrastructure projects across the GCC.
This position is ideal for a detail-oriented pavement engineering professional with strong expertise in pavement condition assessment, processed pavement data QA/QC, and pavement distress classification. The successful candidate will play a key role in ensuring the accuracy and integrity of pavement condition data used to support asset management strategies and maintenance planning.
Key Responsibilities:
- Perform QA/QC of processed pavement condition data prior to client submission.
- Review, validate, and assess pavement distress data, including cracking, rutting, ravelling, bleeding, texture, and roughness.
- Classify pavement distresses and severity in accordance with ASTM D6433, LTPP, and project-specific standards.
- Verify machine-processed pavement data against pavement imagery and raw survey data.
- Support Pavement Management System (PMS) data preparation, reporting, and pavement condition assessments.
- Collaborate with data processing teams to identify and resolve inconsistencies while improving overall data quality.
- Review processed outputs from pavement survey technologies to ensure compliance with project specifications.
- Prepare technical reports and quality documentation for internal review and client deliverables.
- Assist in the continuous improvement of data validation processes and QA/QC procedures.
- Work closely with project managers, pavement engineers, and survey teams to ensure timely and accurate project delivery.
Requirements:
- Bachelor’s Degree in Civil Engineering, Pavement Engineering, Transportation Engineering, or a related discipline.
- Minimum 5–10 years of experience in pavement engineering, pavement condition assessment, or pavement asset management.
- Strong experience performing QA/QC on processed pavement condition data.
- Proven expertise in pavement distress identification, classification, and condition rating.
- Hands-on experience with LCMS-2 is essential.
- Familiarity with pavement data processing software such as: ROMDAS, Data View, or similar pavement processing platforms
- Strong understanding of ASTM D6433, LTPP, and pavement condition rating systems (PCI preferred).
- Experience working with Pavement Management Systems (PMS) is highly desirable.
- Previous experience on GCC or international pavement survey and asset management projects is preferred.
- Experience using pavement data collection systems such as ARAN, Hawkeye, or equivalent is advantageous.
- Knowledge of ArcGIS or QGIS is beneficial.
- Basic scripting skills in Python or R for data validation, automation, or reporting would be an advantage.
- Strong analytical, problem-solving, and communication skills with excellent attention to detail.
- Ability to work collaboratively within multidisciplinary engineering and data processing teams.
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