Geospatial Software Engineer

Planet Labs
Graz, AustriaPosted 24 February 2026

Job Description

<div class="content-intro"><p><strong>Welcome to Planet. We believe in using space to help life on Earth.</strong></p> <p>Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.</p> <p>Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.</p> <p>As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.</p> <p>We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.</p> <p>Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.</p></div><p><strong>About the Role:</strong></p> <p>We are seeking a skilled and motivated Geospatial Software Engineer to strengthen our team working on the development of CDSE. In this role, you will build and maintain the data provisioning pipelines that make satellite images and derived Earth Observation data available on the platform. Your work will also directly support the foundational infrastructure for cutting-edge Digital Twin initiatives, enabling a new generation of geospatial applications. This role will involve working closely with a varied team of engineers, Earth Observation scientists and project managers.</p> <p>This is a full-time, temporary position expected for 1 year (with possibility of extension or conversion). This position is hybrid and requires you to work in our office in either Graz, Austria or Ljubljana, Slovenia 3 days per week.</p> <p><strong>Impact You’ll Own:</strong></p> <ul> <li>Develop and operate robust, scalable automated pipelines to process and serve analysis-ready satellite data (e.g., Sentinel-1, Sentinel-2) to our users.</li> <li>Integrate new and diverse data sources into CDSE, ensuring they are discoverable and usable.</li> <li>Manage the integration of cloud-native data, primarily from object storage (AWS or similar), with our core API services.</li> <li>Engineer and implement solutions for data visualization and connecting data streams to user-facing dashboards.</li> <li>Drive the integration of metadata using modern standards like STAC to ensure data is easily searchable and interoperable.</li> <li>Collaborate closely with a team of developers and scientists to build the next generation of EO infrastructure.</li> <li>Write clear technical documentation for all developed services and pipelines to ensure long-term sustainability and maintainability.</li> </ul> <p><strong>What You Bring:</strong></p> <ul> <li>4+ years experience in a technical role (data scientist, software developer…) within a multidisciplinary team.</li> <li>Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or a comparable field of study</li> <li>Proficiency in Python for data processing and backend development (e.g. RESTful APIs, GDAL, geopandas, rasterio, xarray…).</li> <li>Experience working with raster data, ideally geospatial formats like Cloud-Optimized GeoTIFFs (COGs).</li> <li>A commitment to code quality, demonstrated by hands-on experience in writing tests and building a culture of quality assurance.</li> <li>Solid understanding and hands-on experience with CI/CD principles and pipelines for automating data delivery.</li> <li>Familiarity with cloud object storage solutions such as AWS S3 or similar.</li> <li>Will ... (truncated, view full listing at source)