Civil Engineer - Construction Data Quality and Progress Monitoring

About the role

This civil engineer position focuses on data quality assurance, validation and analysis of construction information. The role uses dashboards, reports and digital construction platforms to check that construction data is accurate, consistent and reliable, and compares actual progress with plans and BIM models.

Key responsibilities

• Perform data quality assurance and validation using dashboards, reports and digital construction platforms.
• Analyse construction site data against architectural drawings, structural plans, BIM models and project specifications.
• Review and validate progress information from 360-degree site imagery, digital models and other visual sources.
• Identify, classify and annotate construction elements and activities according to project guidelines and quality standards.
• Compare actual progress with planned schedules, drawings and BIM models to spot discrepancies and recommend corrective actions.
• Carry out detailed quality control checks on annotated datasets and collaborate with cross-functional teams on technical queries.
• Manage workloads and deliverables within timelines and quality standards, while keeping up with digital construction technologies, BIM workflows and AI-driven monitoring solutions.

Required profile

• Bachelor's degree in Civil Engineering, Architectural Engineering or an equivalent engineering qualification.
• Minimum 1-2 years of practical experience in the construction industry, preferably with hands-on site exposure.
• Strong understanding of construction methods, materials, sequencing and the construction lifecycle.
• Ability to interpret architectural, structural and technical drawings and documents.
• Good understanding of construction progress monitoring and project execution.
• Excellent English verbal and written communication; able to work independently and in teams.

Required skills

• Interpretation of architectural and structural drawings and technical documentation.
• Use of digital tools, dashboards and data management systems.
• Strong analytical, critical thinking and problem-solving skills.
• Attention to detail and quick adaptation to new technologies.