Earth Observation for our Belgium office

ph3Belgium | 5+ years of experience | Hybrid international /h3 pTurn observations from space into environmental intelligence for living water systems. /p pbThe opportunity /b /p pbHAEDES /bis looking for an Earth Observation Geospatial Data Scientist to strengthen our team in bBelgium /b. We seek someone who can transform satellite observations into trustworthy information that supports better decisions for rivers, coasts, estuaries and oceans. You will combine Sentinel and Copernicus products with in-situ measurements, sensor data and numerical-model outputs. Working between applied research and consultancy, you will develop indicators, data pipelines and scalable applications for environmental monitoring, forecasting and early warning. You will also help bring space-based observations more deeply into HAEDES' digital-twin solutions and regenerative blue-economy projects. /p pbWhat you will shape? /b /p ul liDesign reproducible workflows to acquire, preprocess, quality-control and analyse optical, radar and other Earth Observation datasets. /li liDevelop environmental indicators and data products for water quality, coastal change, flooding, habitat condition and other water-system applications. /li liIntegrate satellite, in-situ, sensor, model and geospatial datasets across different spatial and temporal scales. /li liBuild scalable processing pipelines and services for monitoring, forecasting, anomaly detection and early warning. /li liConnect Earth Observation products with GIS platforms, geospatial databases and digital twins. /li liDefine validation strategies, quantify uncertainty and communicate the fitness and limitations of derived products. /li liTranslate complex processing methods and results into clear maps, visualisations, demonstrations and recommendations. /li liContribute to RD proposals, client projects and partnerships while pursuing promising ideas of your own. /li /ul pbWhat you bring? /b /p ul liA master's degree or PhD in Earth Observation, remote sensing, geomatics, geography, environmental science, engineering or a closely related field. /li liAt least 3 years of relevant experience with Earth Observation, geospatial and/or environmental data. /li liStrong scientific programming skills in Python and familiarity with C++. /li liPractical knowledge of Sentinel missions, Copernicus services and commonly used Earth Observation products. /li liExperience with satellite-data processing, atmospheric or geometric corrections, quality control and the generation of derived indicators. /li liStrong command of raster and vector data, spatial analysis, GIS and geospatial databases. /li liExperience integrating heterogeneous spatial and time-series datasets from satellite, sensor and modelling sources. /li liA sound understanding of resolution, coverage, retrieval limitations, uncertainty, ground truth and validation. /li liThe ability to explain technical workflows and results to both specialist and non-specialist audiences. /li liProfessional working proficiency in English. (Confirm whether Portuguese is required or preferred.) /li /ul pbAdditional experience we value /b /p ul liCloud-native or distributed processing of large EO datasets, including data cubes, object storage, parallel computing or scalable APIs. /li liEfficient big-data architectures and formats, such as cloud-optimised rasters, multidimensional arrays, spatial indexing and catalogue standards. /li liGoogle Earth Engine, Copernicus Data Space, openEO or comparable EO processing platforms. /li liMachine learning, computer vision, data assimilation or the coupling of EO products with numerical models. /li liMarine, coastal, hydrological, ecological or blue-economy applications and the co-design of tools with end users. /li liDevOps, automated testing, containerisation and reproducible research or production workflows. /li /ul pbHow you work? /b /p pYou are curious enough to explore the unknown and disciplined enough to make the result dependable. You work autonomously without working alone, expose assumptions and uncertainty, and invite other disciplines and viewpoints into the process. You combine creativity with responsibility and keep learning as technologies, data sources and environmental questions evolve. /p pbWhat makes HAEDES different? /b /p pbHAEDES /bblends engineering and soul: logic with emotion, knowledge with wisdom, and process with patterns. We address root causes rather than symptoms and co-create solutions inspired by nature. Our values – nature, trust, connection, creativity, autonomy and authenticity – guide how we choose projects, work with partners and make decisions. /p ul liA living-system organisation that adapts through co-creation, learning and distributed responsibility. /li liFreedom to pioneer and pursue original ideas, paired with accountability for data quality and useful outcomes. /li liWork at the intersection of water, Earth Observation, modelling, data science, climate resilience and r