Job
- Level
- Erfahren
- Job Feld
- Data, Application
- Anstellung
- Vollzeit
- Vertragsart
- Befristetes Dienstverhältnis
- Ort
- Graz
- Arbeitsmodell
- Hybrid, Onsite
Job Zusammenfassung
In diesem Job entwickelst du skalierbare Pipelines zur Verarbeitung von Satellitendaten, integrierst Cloud-Daten und visualisierst diese in nutzerfreundlichen Dashboards. Dabei nutzt du Python, Stats und moderne Standards wie STAC.
Job Technologien
Deine Rolle im 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.
Unsere Erwartungen an dich
Ausbildung
- Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or a comparable field of study.
Qualifikationen
- Proficiency in Python for data processing and backend development (e.g. RESTful APIs, GDAL, geopandas, rasterio, xarray…).
- 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.
Erfahrung
- 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.
Job Standorte
Themen mit denen du dich im Job beschäftigst
Das ist dein Arbeitgeber
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
- Unternehmenstyp
- Etablierte Firma
- Branche
- Luft-, Raumfahrt