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Civil engineer (asset management and geospatial)

Darwin
Civiltech Solutions
Civil Engineer
Posted: 27 April
Offer description

Civiltech Solutions is seeking a Civil Engineer with experience in asset management and geospatial data to support the delivery of infrastructure projects across local government and broader civil infrastructure partnerships. This role suits someone who enjoys combining engineering, data, and technology to support clear, evidence-based decisions.

About the Role

You will work across a combination of office-based and on-road projects, contributing to:

* Road and asset condition assessments
* Asset management planning and reporting
* Geospatial data capture, processing, and analysis
* Civil engineering investigations and design support
* Project management and coordination

You will also contribute to the ongoing improvement of digital data capture and analysis workflows, including the development of internal tools and systems.

Skills and Experience

* Civil Engineering qualification
* Approximately 5+ years' relevant experience, including GIS systems
* Experience in asset management or infrastructure planning
* Strong report writing skills with a clear, evidence-based approach
* Experience in civil design and/or project management
* Ability to manage multiple projects and communicate effectively
* Experience with grant writing or funding submissions (desirable)
* Interest in Python programming or developing engineering tools (desirable)
* Interest in data, automation, and workflow improvement (desirable)

Key Responsibilities

* Translate data into clear, defensible engineering outcomes
* Support councils with renewal planning and funding strategies
* Work with LiDAR, imagery, and AI-driven condition datasets
* Contribute to Civiltech's corridor intelligence approach
* Assist in the development of internal tools and improved workflows

Why Join Civiltech

* Work on a mix of local government and broader infrastructure projects
* Work with advanced data capture technologies, including LiDAR and AI-driven tools, applied to real infrastructure challenges
* Flexible working environment (office and on-road)
* Opportunity for ongoing work and professional growth
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