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Geospatial Data engineer (Contractor) -- brisan oglas

Opis delovnega mesta

Sinergise Solutions is a company based in Austria and Slovenia, working in the field of distribution and processing of satellite data, best known for Sentinel Hub. Sinergise Solutions is also a pivotal partner in the Copernicus Data Space Ecosystem (CDSE), often referred to as "Europe’s eyes on Earth". CDSE is an open ecosystem that provides free instant access to a wide range of data and services from the Copernicus Sentinel missions. It not only ensures the continuity of the open and free access to Copernicus data but also extends the portfolio for data processing and data access possibilities.

We are seeking a skilled and motivated Geospatial Data 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.

Impact You Will 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.

Od kandidatov zahtevamo

- At least 3 years experience in a technical role (data scientist, software developer…) within a multidisciplinary team.
- Expertise in Python for data processing and backend development (e.g. RESTful APIs, GDAL, geopandas, rasterio, xarray…).
- Basic knowledge of JavaScript would be a plus.
- Proven 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:
- Demonstrated experience in developing and running operational services in the Earth Observation domain.
- A strong 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.

Kandidatom ponujamo

- A competitive compensation commensurate with your experience.
- Working on an impactful project: A unique opportunity to contribute to the development of the Copernicus Data Space Ecosystem and working on cutting-edge Digital Twin initiatives that shape the future of Earth Observation.
- Direct Collaboration with Project Experts: As an independent consultant, you will collaborate closely with the client's core technical and scientific experts. The focus is on achieving shared project goals, giving you the freedom to apply your own expertise and working methods.

The contractor agreement is for an initial term of one year, with a possibility for extension based on project success and progression.

Klasifikacija delovnega mesta

Lokacija:
Ljubljana; Remote (in the EU)
Plačilo:
5000 - 7000 (bruto) EUR / mesec
Delovni čas:
po dogovoru

 

Zahtevana znanja

python
napredno znanje