Data Plane
Software Engineer - Data Plane(m/w/x)
Full-timeWith HomeofficeExperienced
Graz
from 56,000 / year
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PLPlanet
Geospatial Software Engineer(m/w/x)
Graz
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Automated pipeline development for satellite imagery processing, integrating diverse data into CDSE using STAC. Python proficiency for data processing and geospatial raster data experience required. Tuition reimbursement, plus home office and phone/internet reimbursement.
Requirements
- 4+ years experience in a technical role
- Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or comparable field
- Proficiency in Python for data processing and backend development
- Experience working with raster data, ideally geospatial formats
- Commitment to code quality and experience in writing tests
- Solid understanding and hands-on experience with CI/CD principles
- Familiarity with cloud object storage solutions such as AWS S3
- Willingness to learn quickly and take on unfamiliar tasks
- Proactive and solution-focused with eagerness to improve data pipelines
- Knowledge of Javascript
- Experience in developing and running operational services in Earth Observation
- Solid grasp of fundamental Remote Sensing concepts
- Familiarity with data orchestration frameworks
- Previous experience with tools available on CDSE
- Experience implementing and running services monitored through SLAs
Tasks
- Develop and operate automated pipelines for processing satellite data
- Integrate diverse data sources into CDSE for usability
- Manage cloud-native data integration with core API services
- Engineer solutions for data visualization and user dashboards
- Drive metadata integration using modern standards like STAC
- Collaborate with developers and scientists on EO infrastructure
- Write clear technical documentation for services and pipelines
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS S3
- Javascript
- CI/CD
- Airflow
- Dagster
- GDAL
- geopandas
- rasterio
- xarray
- Cloud-Optimized GeoTIFFs
- Sentinel Hub
- openEO
Benefits
More Vacation Days
- Paid time off including vacation
Healthcare & Fitness
- Employee Wellness Program
Additional Allowances
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement
Learning & Development
- Access to LinkedIn Learning
Competitive Pay
- Equity
Social Impact
- Volunteering Paid Time Off
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Planet and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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PLPlanet
Geospatial Software Engineer(m/w/x)
Graz
Full-timeWith Home OfficeExperienced
Nejo AI Summary
Automated pipeline development for satellite imagery processing, integrating diverse data into CDSE using STAC. Python proficiency for data processing and geospatial raster data experience required. Tuition reimbursement, plus home office and phone/internet reimbursement.
Requirements
- 4+ years experience in a technical role
- Bachelor's degree in Geoinformatics, computer science, physical science, engineering, or comparable field
- Proficiency in Python for data processing and backend development
- Experience working with raster data, ideally geospatial formats
- Commitment to code quality and experience in writing tests
- Solid understanding and hands-on experience with CI/CD principles
- Familiarity with cloud object storage solutions such as AWS S3
- Willingness to learn quickly and take on unfamiliar tasks
- Proactive and solution-focused with eagerness to improve data pipelines
- Knowledge of Javascript
- Experience in developing and running operational services in Earth Observation
- Solid grasp of fundamental Remote Sensing concepts
- Familiarity with data orchestration frameworks
- Previous experience with tools available on CDSE
- Experience implementing and running services monitored through SLAs
Tasks
- Develop and operate automated pipelines for processing satellite data
- Integrate diverse data sources into CDSE for usability
- Manage cloud-native data integration with core API services
- Engineer solutions for data visualization and user dashboards
- Drive metadata integration using modern standards like STAC
- Collaborate with developers and scientists on EO infrastructure
- Write clear technical documentation for services and pipelines
Work Experience
- 4 years
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- AWS S3
- Javascript
- CI/CD
- Airflow
- Dagster
- GDAL
- geopandas
- rasterio
- xarray
- Cloud-Optimized GeoTIFFs
- Sentinel Hub
- openEO
Benefits
More Vacation Days
- Paid time off including vacation
Healthcare & Fitness
- Employee Wellness Program
Additional Allowances
- Home Office Reimbursement
- Monthly Phone and Internet Reimbursement
- Tuition Reimbursement
Learning & Development
- Access to LinkedIn Learning
Competitive Pay
- Equity
Social Impact
- Volunteering Paid Time Off
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Planet and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Planet
Industry
Other
Description
Planet designs, builds, and operates the largest constellation of imaging satellites, delivering data for commercial, environmental, and humanitarian sectors.
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