ABOUT US
The ambition of Cambium Earth is to make a significant contribution (over 2%) of the planets annual carbon removal goals through a nature-positive and economically viable model.
The single and most efficient tool we currently have for sucking up CO2 from air are trees. Planting trees and managing carbon sounds like an easy enough task but doing it cost-effectively and at scale requires overcoming huge challenges such as access to land, regulatory constraints, high-capital needs, trustworthy product design, effective asset management, global operations, and a long-term commitment. Above all, the new world of carbon management requires a team with the ambition to learn and adapt, to share their skills, and to contribute to the project and society. We are always looking for people who share our view and are willing to bring along their unique experience and talents.
Cambium leverages over 30 years of experience with reforestation and conservation projects resulting in unique skills and IP with both native and adapted species. This, combined with our world-class sensor, data, AI, and financial expertise, puts us in a unique position to tackle the challenges behind carbon removal through nature-based solutions.
ROLE SUMMARY
Cambium manages information about potential and managed assets that involves data such as,
· Specific geospatial data such as remote sensing and drone imagery, LiDAR point cloud, or vector layers · Land and forest data such as soil types, tree growth or genetic libraries · Operational data including fire prevention or auditing· Business data, such as carbon or timber production information · ESG data, such as biodiversity and social responsibility indicators· Analytic data resulting from inferring or forecasting information from the above or the combination of the above with external data sources.
This data, mostly geolocated, is then used to inform operations, third parties such as auditors, insurers or carbon registries, and our clients. The Geospatial Data Developer role at Cambium is responsible for making this data trustable, discoverable and usable, by both helping to develop and integrate the core pieces of the data infrastructure to creating the data visualization layers and analysis that help to take data-driven decisions.
RESPONSABILITIES
· Help to build and consolidate our data infrastructure and actively contribute to design implementation decisions· Develop, orchestrate and monitor data pipelines · Build tests, integrations and automations that allow to ensure data quality, downstream connectivity and usability· Create dashboards, applications or other user-friendly interfaces that allow business users to take decisions · Perform data analysis and transformations to support decision-making· Elaborate documents and present results to other teammates and stakeholders
QUALIFICATIONS Required· Bachelor's or engineering degree in relevant discipline such as forestry engineering, agronomic engineering, geography, environmental sciences or computer engineering · Proficiency in Python and SQL· Experience with testing, data quality assurance and CI/CD· Fluent with Docker and familiar with Kubernetes· Comfortable with geospatial data processing (raster, vector, point cloud, spatial index)· Familiarity with desktop GIS software (QGIS, ArcGIS)· Experience using BI or LI tools (Apache Superset, Looker, Tableau, Power BI, CARTO)· Experience developing front-end geospatial applications in an ecosystem like Mapbox, CARTO, esri, Google Maps, etc. · Fluent English and Spanish· Autonomy, curiosity, willingness to learn quickly and good energy
Desirable· PostgreSQL/PostGIS knowledge· Knowledge in environmental and forestry domains· Experience working with Google Earth Engine and the Planetary Computer Hub· Experience with dbt· Familiarity with the Google Cloud ecosystem· Familiarity with STAC
The position will be held remotely within Spain.