Background CLIMADA Technologies
Emerging from the academic research group of Weather & Climate Risk at ETH Zurich, CLIMADA Technologies is a spin-off of ETH Zurich and a globally operating climate risk analytics company bringing opportunity to climate adaptation. Our technology is built on CLIMADA, the open-source and global platform for probabilistic multi-hazard risk modeling and options appraisal.
CLIMADA Technologies covers both acute and chronic hazards and expands the datasets available in the CLIMADA data API, which provides probabilistic hazard event sets at high spatial resolution for present as well as future climate conditions.
Marrying these hazard sets with individual asset and vulnerability data, CLIMADA Technologies generates detailed physical risk analytics spanning both direct and indirect impacts.
About the role
We’re seeking an enthusiastic and technically-driven geospatial or climate-risk specialist - ideally a Geospatial Data Engineer - who excels at processing spatial data at scale and transforming complex climate and hazard datasets into actionable insights. You’ll drive the development and delivery of our physical climate risk solutions, both scientifically and technically, thereby supporting corporate clients in understanding and managing climate change-related risks. This includes the development and standardization of models to quantify the impacts of climate-related hazards (such as indirect impact models for business interruptions following extreme events). On the technical side, you will design and implement cloud-native data pipelines in AWS, optimize (geospatial) data lakes, build scalable geospatial analytics services with APIs, and develop reusable workflows.
What you bring:
PhD or MSc in geoinformatics, environmental data science, geophysics, climate science; or experience in related technical fields (e.g., NatCat modeling, statistical modeling, remote sensing, ideally in the context of meteorological or climatological risks).
Extensive experience with large geospatial datasets and scientific programming, especially in the context of climate, environmental, or disaster risk data, ideally in a cloud environment.
Proficiency in Python and experience with software development in a professional environment, including code versioning, testing, and documentation
Skilled in handling raster/vector data, GIS tools, geospatial databases, and libraries such as Zarr, GeoPandas, Rasterio, Shapely.
Proficient in data science techniques for complex data: Experienced applying statistical and machine learning approaches - including spatial downscaling and uncertainty quantification - on large, heterogeneous, or incomplete datasets.
Experience designing cloud-based data pipelines (e.g., using S3, ECS, Lambda, Step Functions, or equivalent cloud-native services) is a plus.
Experience with API development in a cloud environment is a plus.
Passion, sense of responsibility and proactivity.
Your impact:
Developing and applying statistical and physics-based modeling techniques related to geophysical hazards, their relation to climate change, and their impacts.
Design and implement geospatial data pipelines for ingestion, transformation, and harmonization of global and local hazard, exposure, and vulnerability datasets.
Build and maintain cloud-native workflows and backend services to automate delivery of climate risk analytics.
Develop and support Python libraries and REST APIs that deliver scalable risk assessments to clients and partners.
Testing, validation, documentation and benchmarking of the development work and the analytic results.
Collaboration with product and business development team, but also with external parties such as research institutions to develop comprehensive projections of future climate change-related physical risks.
We would like to offer you:
The opportunity to work with a hand-picked team of highly dedicated specialists who live their values, care about the planet and seek to build technology which stresses the significance and impact of nature on our existence.
Our Team
We are an international, interdisciplinary, and diverse team with complementary capabilities, adept in scaling technologies, cloud computing, artificial intelligence, climate and weather science, data science, natural catastrophe modeling, and risk planning and management.
Please apply at contact@climada.tech