GIS Specialist – Agroforestry

Job description

Mamaland, a Mota-Engil Group company, is dedicated to the development and maintenance of sustainable systems through a more inclusive approach, with the aim of generating Prosperity for the Planet and for People. The MoRe Project is a large-scale initiative, with an expected duration of 40 years, focused on forest restoration and sustainable development in Malawi. The project aims to restore 555,000 hectares of degraded land through reforestation, agroforestry, and assisted natural regeneration, while promoting the active involvement of local communities. Through this approach, MoRe seeks to generate long-lasting environmental, social, and economic benefits, contributing to ecological resilience and the well-being of populations.Job Description and Main Responsibilities:A professional capable of transforming complex spatial data into operational products, robust analyses, and decision support 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 cloudDesign 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.