GIS Specialist – Agroforestry (M/F).
Job Description
Job Description and Main Responsibilities:
A professional capable of transforming complex spatial data into operational products, robust analyses, and decisionsupport information for environmental, forestry, and carbon projects. The ideal candidate should combine strong technical expertise in geographic information systems, remote sensing, programming, and data science.
Manage, structure and ensure the quality of geographic databases, including vector, raster, LiDAR and field observation data.
Produce maps, spatial analyses, and indicators to support planning, monitoring, reporting and decisionmaking.
Process satellite imagery for land use and land cover classification, forest monitoring, change detection, biomass assessment and environmental evaluations.
Apply machine learning and, where appropriate, deep learning techniques to satellite and drone imagery.
Support UAV mission planning, data acquisition, and the processing of products such as orthomosaics, digital models, and point cloud
Design and maintain digital field data collection tools, including Survey123 and ArcGIS ecosystem solutions.
Support forest inventories and MRV/dMRV systems.
Prepare technical reports, presentations, procedures, and methodological documentation.
Train and support field teams and non-technical users, ensuring GIS outputs are clearly understood and effectively used in operations.
Job Requirements and Competency Profile:
Bachelor’s or Master’s degree in Geographic Engineering, Geomatics, Geography, Remote Sensing, Environmental Sciences, Forestry Engineering, Data Science, Computer Science, or a related discipline.
Relevant professional experience in GIS, remote sensing, and geospatial analysis. 3 to 5 years of experience is preferred.
Proficiency in ArcGIS Pro, ArcGIS Online, and QGIS, including geoprocessing, cartography, and geographic database management.
Strong Python skills for data processing, automation, and spatial analysis.
Practical experience with Google Earth Engine.
Knowledge of optical and radar imagery, classification methods, spectral indices, time-series analysis, and result validation.
Experience in environmental, forestry, conservation, agriculture, carbon, or land management projects.
Professional proficiency in English, both written and spoken, with the ability to communicate technical results to non-specialist audiences.
Availability for regular travel to project sites and fieldwork locations; valid driving licence required.
Preferred Competencies:
Experience with Python
Experience with Power BI, dashboards and integration between GIS and business intelligence tools.
Certified drone pilot or proven drone operations experience
Knowledge of LiDAR, point clouds and digital terrain/surface models.
Experience with carbon projects, MRV systems, forest inventories and biomass estimation.
Apply for the Job
To apply for this job please visit careers.mota-engil.com.
Deadline:20
