Job
- Level
- Experienced
- Job Field
- Data, Application
- Employment Type
- Full Time
- Contract Type
- Temporary employment
- Location
- Graz
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will develop scalable pipelines for processing satellite data, integrate cloud-based data, and visualize it in user-friendly dashboards using Python, STAC standards, and modern data practices.
Job Technologies
Your role in the team
- 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.
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Our expectations of you
Education
- Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or a comparable field of study.
Qualifications
- Proficiency in Python for data processing and backend development (e.g., RESTful APIs, GDAL, geopandas, rasterio, xarray…).
- Vertrautheit mit Cloud-Object-Storage-Lösungen wie AWS S3 oder ähnliches.
- 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.
Experience
- 4+ years experience in a technical role (data scientist, software developer…) within a multidisciplinary team.
- 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.
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Job Locations
Topics that you deal with on the job
This is your employer
Planet Labs
Planet is the leading provider of global, daily satellite imagery and insights. Planet is driven by a mission to image all of Earth’s landmass every day, and make global change visible, accessible, and actionable. Founded in 2010 by three NASA scientists, Planet designs, builds, and operates the largest fleet of imaging satellites, as well as online software, tools and analytics needed to deliver data to users. Decision makers in business, government, and within organizations use Planet's data and machine learning-powered analytics to develop new technologies, drive revenue, power research, and make informed, timely decisions to solve our world's toughest challenges.
Description
- Company Type
- Established Company
- Industry
- Aviation, Space Travel
Geospatial Software Engineer
- Location
- Graz
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
