• Deliver innovative geospatial solutions for utility systems • Develop and maintain GIS-based applications using ArcGIS Enterprise and ArcGIS Online • Design and configure ArcGIS Field Maps solutions and mobile data collection workflows • Build reusable Python-based tools using ArcPy and the ArcGIS API for Python • Implement and optimize ETL pipelines, automate QA/QC workflows • Support enterprise GIS architecture and manage RESTful services and APIs • Collaborate with engineers, project managers, and client stakeholders

• Play a hands-on role in delivering innovative geospatial solutions that power modern utility systems. • Support the design, development, and implementation of enterprise geospatial solutions. • Configure and deploy ArcGIS applications, including ArcGIS Enterprise and ArcGIS Online. • Build efficient workflows for data collection, validation, and asset management using tools like ArcGIS Field Maps. • Develop Python-based tools (ArcPy, ArcGIS API for Python) and ModelBuilder workflows to streamline data processing, QA/QC, and ETL processes. • Collaborate with cross-functional teams to translate technical and business requirements into practical GIS solutions.

• Build C# based GIS services using modern geospatial packages and APIs • Implement and maintain capabilities with ArcGIS Maps SDK for JavaScript 4.x • Develop secure integrations with Salesforce using JWT authentication • Support cloud deployments in AKS and assist in service migration to Azure Functions • Write unit tests and maintain strong unit‑testing coverage to ensure code quality and reliability • Collaborate with engineering, architecture, and data teams to deliver scalable GIS solutions • Contribute to CI/CD pipelines, testing, and code reviews using GitHub and GitHub Actions

• Advise and guide the AI-ready data architecture and geospatial AI service definition for institutional clients, who will be doing the data-space-development in-house. • Guide and execute needs and gap assessment among all the relevant stakeholders, providers and users on data needs. • Design and define the overall system architecture and technology approach based on client requirements and constraints, including the harmonisation of heterogeneous data. • Create detailed technical specifications for external partners that clearly define what to build and quality standards. • Review partner deliverables to ensure they meet specifications and align with project goals. • Identify technical risks early and make trade-off recommendations between scope, budget and timeline. • Support the development of guidelines for data governance and the ethical use of AI services, and where appropriate conduct capacity development activities for the successful uptake of services. • Support the delivery of existing projects by writing deliverables, executing tasks, participating in project meetings both online and in-person, including proposing and creating content and managing your own workload. • Represent the team and the organisation in online and in-person meetings. • Support the team’s business development through, e.g. proposal writing. • Support the identification, definition and development of new services and products.