Lead GIS Specialist, Remote Sensing [DRAFT]

Biodiversity & Carbon Team · Toowoomba, Melbourne or remote work · 0.8–1.0 FTE

Build and lead the spatial analysis tools shaping the future of carbon and biodiversity measurement.

About us

Integrity Ag is a science-led consultancy helping the agricultural sector measure, manage and reduce its environmental footprint and benefit from markets that reward landholders achieving better outcomes. Our Biodiversity & Carbon team delivers rigorous, defensible carbon and biodiversity outcomes for clients across Australia — guided by our values of Integrity, Innovation and Care.

About the role

Spatial assessment and reporting of land use (including forest) and other ag-related assets like soil and biodiversity is a key part of what we do. We are looking for a Lead GIS Specialist who can turn complex spatial and field data into robust, audit-ready insights — and who wants to take ownership of the leading in-house spatial analysis tools we are building, and lead the proposals and client relationships that grow this service line.

Reporting to a Principal, you will:

Lead the ongoing management and continuous improvement of our leading in-house spatial analysis tools and platforms — building, improving, documenting and scaling them so they remain first-class, market-ready products. This is primarily continuous improvement of tools already in production, not blank-page invention.

Conduct statistical and spatial modelling using remote sensing across optical (Sentinel-2, Landsat), radar (Sentinel-1 SAR) and LiDAR data, applying machine learning and image classification where it adds value, and use of biomass models such as FullCAM.

Work fluently across ArcGIS, QGIS, cloud Earth-observation platforms (e.g. Google Earth Engine), FullCAM, and Python and/or R.

Lead the development and delivery of proposals and tender responses for spatial, carbon and biodiversity work — scoping technical approach, estimating effort and cost, and coordinating competitive bids end-to-end — as a core, ongoing part of the role.

Own client relationships and communications on your projects, from data collection through to delivery, amendments and sign-off.

Deliver landuse (LULUC), carbon, vegetation and biodiversity consulting projects — including farm condition data, HIR, tree planting and soil carbon — to ACCU Scheme and MRV (Monitoring, Reporting and Verification) standards, and emerging insetting standards.

Design and manage databases, reporting and integrations (SQL, Power BI, APIs) to help the business scale to meet client needs.

Quantify and document the uncertainty and accuracy of your estimates so our work stays defensible and audit-ready.

Manage project budgets — including, where you are leading a project, the budgets and time of other team members and subcontractors working alongside you.

About you

A degree in Data Science, Remote Sensing, Geospatial Science, Environmental Science, Computer Science or a related discipline (postgraduate qualifications well regarded), 5 or more years’ professional experience, and the drive to prioritise workflows to deliver outcomes and continuously improve tools through to completion.

You'll thrive in this role if

You get more satisfaction from strengthening, scaling and hardening a system than starting one from a blank page — this role is mostly continuous improvement of tools we've already built.

You have sound judgement under messy data, and genuine follow-through — model updates, projects and platform improvements get finished to a defensible, audit-ready standard, not just started.

You're willing and able to step up and lead a tender, a proposal, or a client relationship — even if that's not the part of the job you enjoy most.

The Essentials

Geospatial analytics & remote sensing: delivering projects using GIS and remote sensing techniques across raster, vector, multispectral and LiDAR datasets, with a strong understanding of Australian coordinate reference systems.

Software engineering: strong Python development, including geospatial libraries and automated processing workflows; building robust, production-quality code with version control (Git), testing, and deployment of analytical systems in an Agile environment.

Data engineering: designing and managing spatial databases using PostgreSQL/PostGIS; SQL development, APIs, automated data pipelines, and geospatial web services such as GeoServer.

Proposals, tenders & client leadership: demonstrated experience leading (not only contributing to) proposals and tender responses, and owning client relationships and communications through the life of a project.

Consulting and/or project management: leading project delivery and managing project and team-member budgets and timeframes, and supporting other team members.

Australian carbon offset projects: delivery of HIR, Savanna Burning, Environmental Plantings and similar methods.

Supervised classification experience.

Broader consulting and project management across multiple concurrent clients.

The Desirables

Emissions modelling: FullCAM, SavCAM and relevant emission accounting frameworks (GHG SLRS, ISO 14067, etc.).

Developing vegetation monitoring systems.

Front-end web development for geospatial-based websites.

Automated code-based reporting.

What's on offer

Flexible location — Toowoomba or Melbourne offices or remote work-from-home — and part-time or full-time (0.8–1.0 FTE).

Meaningful work at the cutting edge of carbon and biodiversity measurement, and real ownership of the proposals and client relationships that grow it.

A supportive, values-driven team collaborating on innovative, advanced projects.

Open to a conversation

If this work interests you but you are not sure the level or title is quite right — whether you are an emerging data engineering specialist or an experienced technical or research leader — we would still like to hear from you. For the right person we are open to shaping the role, level and remuneration to fit. Send us your CV and a short note on what you would bring, and we will arrange a confidential chat.

How to apply

Click Apply and include your CV and a short cover letter that tells us about a spatial tool-set or challenging analysis you have built and delivered end-to-end — and, if you have one, a proposal or tender you led. We review applications as they arrive, so please apply early.