Apply for this jobProject description:Join our Geospatial Business Unit as a Spatial Data / Software Engineer and play a key role in helping our clients implement, optimize, and maintain advanced spatial data processing systems. You will work with both commercial and open-source technologies to build scalable, cloud-based geospatial solutions.Requirements:Strong understanding of spatial data models and best practices in spatial data managementProficiency in Python (intermediate level or higher)Experience automating spatial data processing using ESRI, FME, or open-source toolsExperience integrating cloud platforms (Azure, AWS) with GIS environmentsWorking knowledge of Jira or Azure DevOpsFamiliarity with data-sharing methodologies and cloud-based architecturesKnowledge of EO spatiotemporal datasetsPassion for spatial data and a strong analytical mindsetExcellent communication skills and a business-oriented approachFluency in English, both written and spokenNice to have:Experience with ESRI products, including:ArcGIS ProArcGIS Online (Experience Builder, Field Maps, Hub, Map Viewer, Survey123, Workflow Manager)ArcGIS NotebooksArcGIS API for Python, arcpyExperience managing or administering ArcGIS Online/PortalExperience training, fine-tuning, and applying AI models for object detection/inference using satellite, aerial, or drone imageryMain responsibilities:Process and manage geospatial data from diverse sources, including Earth Observation (EO) datasetsDesign, develop, and maintain ETL pipelinesIntegrate spatial data from multiple external and internal systemsDevelop automation solutions to streamline geospatial data workflowsBuild cloud-based geospatial applications for web and mobile environments