Remote Sensing Engineer

Responsibilities: 

• Design, develop, and maintain software applications for diverse domains, including space-related projects (e.g., Payload Data Ground Segment – PDGS) and drone systems. 
• Conduct spatial analysis using remote sensing data and implement innovative solutions for data processing and interpretation e.g. Machine Learning. 
• Develop and optimize machine learning models for applications such as object detection, computer vision, and image chain processing. 
• Collaborate with cross-functional teams to define requirements, propose solutions, and ensure successful project delivery. 
• Provide technical support to other teams, sharing knowledge of remote sensing, geospatial technologies, and software development best practices. 
• Write clean, efficient, and well-documented code using Python and other relevant technologies. 
• Maintain and enhance GIS tools, including proficiency in software like QGIS, to support geospatial analysis and modeling. 
• Employ version control tools (e.g., Git) and containerization technologies (e.g., Docker) to ensure robust and scalable development workflows. 
• Participate in research and development initiatives related to space and drone technologies, staying abreast of modern advancements. 
• Manage software engineering fundamentals, including documentation, version control, and team collaboration.

Requirements (foundamental): 

• 2+ years of relevant professional experience in Remote Sensing or Drone-related fields 
• Bachelor’s degree in a related field (Geography, Geomatics, GIS, Remote Sensing, Computer Science etc.). Relevant professional experience may be substituted for a degree. 
• Self-driven and capable of working independently in a full remote team environment 
• Recent experience with some of the following technologies: 
• Machine Learning/Object Detection/Computer Vision/Deep Learning, 
• Python (knowledge of geospatial) 
• Creating code and models, 
• Git, Docker. 
• Proficiency in Python for scripting, data processing, testing 
• Software engineering fundamentals, including documentation, version control, sharing code amongst the members of a team and basic software design patterns. 
• Knowledge and interest in modern technologies, including primarily the development of solutions for the space and/or drone segment 
• Good knowledge of Linux Operating Systems 
• Proficient at remote sensing modeling 
• Good knowledge of GIS software (mainly QGIS) 
• Strong analytical and problem-solving skills. 

Best: 

• Master’s degree or Ph.D. in a relevant field 
• Experience with Satellite PDGS (Payload Data Ground Segment) or image chain processing development, such as Calibration and Validation (CalVal) activities, georeferencing refinement or orthorectification.  
• Knowledge and/or experience in space sector projects related with satellite data processing performed for example for ESA. Knowledge of PDGS terminology and standards e.g. image quality. 
• Proficiency with database tools such as PostgreSQL (PostGIS) or MongoDB. 
• Knowledge of another programming language e.g. C, C++, R.