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  3. Geospatial Software Engineer
Planet logo

Geospatial Software Engineer

Planet
Ljubljana, Slovenia
TEMPORARY
Posted November 18, 2025
Not Specified
Apply Now

Application opens on company website

Job Description

The role involves developing and maintaining geospatial data pipelines and infrastructure to process and serve satellite imagery and Earth Observation data, supporting advanced geospatial applications and digital twin initiatives within a collaborative, innovative environment.

Key Responsibilities

  • Build and maintain automated pipelines to process and serve satellite and Earth Observation data
  • Integrate new data sources into the platform, ensuring discoverability and usability
  • Manage cloud-native data integration from object storage solutions like AWS S3
  • Develop data visualization solutions and connect data streams to user dashboards
  • Implement and drive metadata integration using standards like STAC for data searchability and interoperability
  • Collaborate with engineers, scientists, and project managers to develop geospatial infrastructure
  • Create technical documentation for services and pipelines to ensure sustainability and maintainability

Requirements

  • Four years of experience in a technical role such as data scientist or 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, including experience with RESTful APIs, GDAL, geopandas, rasterio, and 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 attitude, with an eagerness to improve data pipelines and contribute innovative ideas to the team.

Benefits & Perks

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

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