Project 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 management
• Proficiency in Python (intermediate level or higher)
• Experience automating spatial data processing using ESRI, FME, or open-source tools
• Experience integrating cloud platforms (Azure, AWS) with GIS environments
• Working knowledge of Jira or Azure DevOps
• Familiarity with data-sharing methodologies and cloud-based architectures
• Knowledge of EO spatiotemporal datasets
• Passion for spatial data and a strong analytical mindset
• Excellent communication skills and a business-oriented approach
• Fluency in English, both written and spoken

Nice to have:

• Experience with ESRI products, including:
• ArcGIS Pro
• ArcGIS Online (Experience Builder, Field Maps, Hub, Map Viewer, Survey123, Workflow Manager)
• ArcGIS Notebooks
• ArcGIS API for Python, arcpy
• Experience managing or administering ArcGIS Online/Portal
• Experience training, fine-tuning, and applying AI models for object detection/inference using satellite, aerial, or drone imagery

Main responsibilities:

• Process and manage geospatial data from diverse sources, including Earth Observation (EO) datasets
• Design, develop, and maintain ETL pipelines
• Integrate spatial data from multiple external and internal systems
• Develop automation solutions to streamline geospatial data workflows
• Build cloud-based geospatial applications for web and mobile environments