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Geospatial Software Engineer

Build automated pipelines to process and serve analysis-ready satellite Earth Observation data
Graz, Styria, Austria
Mid-Level
yesterday
Planet Labs

Planet Labs

A provider of global satellite imagery data and analytics for various industries, including agriculture, government, and environmental monitoring.

28 Similar Jobs at Planet Labs

Geospatial Software Engineer

Welcome to Planet. We believe in using space to help life on Earth.

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.

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.

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.

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.

Planet is a global company with employees working remotely worldwide and joining us from offices in San Francisco, Washington DC, Germany, Austria, Slovenia, and The Netherlands.

About the Role:

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.

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.

Impact You'll Own:

  • Develop and operate robust, scalable automated pipelines to process and serve analysis-ready satellite data (e.g., Sentinel-1, Sentinel-2) to our users.
  • Integrate new and diverse data sources into CDSE, ensuring they are discoverable and usable.
  • Manage the integration of cloud-native data, primarily from object storage (AWS or similar), with our core API services.
  • Engineer and implement solutions for data visualization and connecting data streams to user-facing dashboards.
  • Drive the integration of metadata using modern standards like STAC to ensure data is easily searchable and interoperable.
  • Collaborate closely with a team of developers and scientists to build the next generation of EO infrastructure.
  • Write clear technical documentation for all developed services and pipelines to ensure long-term sustainability and maintainability.

What You Bring:

  • 4+ years experience in a technical role (data scientist, software developer…) within a multidisciplinary team.
  • Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or a comparable field of study
  • Proficiency in Python for data processing and backend development (e.g. RESTful APIs, GDAL, geopandas, rasterio, xarray…).
  • Experience working with raster data, ideally geospatial formats like Cloud-Optimized GeoTIFFs (COGs).
  • A commitment to code quality, demonstrated by hands-on experience in writing tests and building a culture of quality assurance.
  • Solid understanding and hands-on experience with CI/CD principles and pipelines for automating data delivery.
  • Familiarity with cloud object storage solutions such as AWS S3 or similar.
  • Willingness to learn quickly and take on unfamiliar tasks.
  • Proactive and solution-focused, with an eagerness to improve data pipelines and contribute innovative ideas to the team.

What Makes You Stand Out:

  • Knowledge of Javascript
  • Experience in developing and running operational services in the Earth Observation domain.
  • A solid grasp of fundamental Remote Sensing concepts.
  • Familiarity with data orchestration frameworks (e.g. Airflow, Dagster…).
  • Previous experience with the tools available on CDSE (Sentinel Hub, openEO).
  • Experience implementing and running services that are monitored through SLAs.

Application Deadline: February 9th, 2026, 23:59

Benefits While Working at Planet:

  • Paid time off including vacation, holidays and company-wide days off
  • Employee Wellness Program
  • Home Office Reimbursement
  • Monthly Phone and Internet Reimbursement
  • Tuition Reimbursement and access to LinkedIn Learning
  • Equity
  • Volunteering Paid Time Off

Why We Care So Much About Belonging. We're dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That's why Planet is guided by an ultimate north star of Belonging—dreaming big as we approach our ongoing work. If this job intrigues you, but you're thinking you might not have all the qualifications, please... do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don't just fill positions, we aspire to fulfill people's careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you're excited to come along for the ride.

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Geospatial Software Engineer
Graz, Styria, Austria
Software
About Planet Labs
A provider of global satellite imagery data and analytics for various industries, including agriculture, government, and environmental monitoring.