Preferred Background
Candidates may come from backgrounds such as:
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- Digital Twin platforms
- BIM software / BIM technology
- GIS / geospatial technology
- AEC technology
- Infrastructure technology
- Smart cities
- Construction technology / ConTech
- Engineering software
- Asset management platforms
- Enterprise SaaS
- Industrial IoT
Infrastructure systems integration Experience with platforms or technologies such as Autodesk, Bentley, Esri, Hexagon, Trimble, Dassault Systèmes, Siemens or similar ecosystems would be advantageous.
Technical Competencies
Strong knowledge in several of the following areas:
Software
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- Joget
- Java / .NET / Python / Node.js or equivalent
- Modern web frameworks
- REST/API architecture
- Microservices
- Event-driven architecture
Data
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- SQL and NoSQL databases
- Spatial databases such as Post GIS
- Data engineering and data pipelines
- Cloud data platforms
BIM / 3D
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- IFC / BIM data
- 3D model processing
- 3D visualisation
- Point clouds
- 4D/5D construction information
GIS
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- Bentley OpenCities, Esri or equivalent GIS platforms
- Spatial databases
- Geospatial services
- OGC standards
- Map and spatial visualisation
Cloud / DevOps
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- Azure / AWS / GCP
- Docker / Kubernetes
- CI/CD
- Infrastructure as Code
- Monitoring and observability
AI / Analytics
- Generative AI / LLMs
- Predictive analytics
- Data science platforms
The candidate does not need to be an expert in every technology listed. Strong architectural understanding and the ability to lead specialists are moreimportant.
Education
A Bachelor’s or Master’s degree in one of the following is preferred:
- Computer Science
- Software Engineering
- Information Technology
- Geomatics / GIS
- Civil Engineering
- Architecture
- Construction Management
- Engineering
- A related technical discipline
A combination of strong software engineering experience and infrastructure technology experience may substitute for formal qualifications