Earth Observation Solutions Engineer (m/f/d) Ref. No. 26-85072

We are looking for an **Earth Observation Solutions Engineer** to join TERMA's team supporting EUMETSAT's Destination Earth Data Lake (DEDL) service in Darmstadt, Germany. This is an exciting opportunity to contribute to one of Europe's most ambitious digital initiatives, working at the intersection of Earth Observation, cloud technologies, data engineering and Artificial Intelligence. **About Destination Earth and the Data Lake:** Destination Earth (DestinE) is a flagship initiative of the European Union aimed at developing highly accurate digital replicas of our planet. These Digital Twins will help monitor, simulate and predict interactions between natural phenomena and human activities, supporting better-informed decisions on climate change and environmental challenges. As part of this initiative, EUMETSAT is responsible for the Destination Earth Data Lake (DEDL), which provides federated access to data and digital twin services, alongside advanced cloud computing and AI/ML capabilities for users across Europe. **The Role:** As an Earth Observation Solutions Engineer, you will play a key role in the evolution of the DEDL architecture, data services and AI/ML capabilities. Working closely with EUMETSAT's technical teams and the wider DestinE community, you will help improve data access and interoperability, develop AI/ML-ready data pipelines and enable scalable processing across cloud and High-Performance Computing (HPC) environments. **Your main responsibilities will include:** * Assessing and improving DEDL architecture, data flows, services and integration mechanisms. * Supporting data federation, API standardisation, metadata harmonisation and interoperability. * Contributing to the integration and validation of AI/ML services, platforms and demonstrators. * Developing reproducible, AI/ML-ready data pipelines using Earth Observation and climate datasets. * Supporting MLOps workflows, including data orchestration, experiment tracking, model management and deployment. * Enabling scalable processing across cloud and HPC environments, including distributed computing and GPU resources. * Advising users and data scientists on EO data access and AI/ML workflows. * Preparing technical documentation, code examples and service reports, while collaborating with customer technical teams. **What You Bring:** * A university degree (or equivalent) in Remote Sensing, Geoscience, Computer Science, Physics or a related field. * At least 5 years of relevant professional experience, including hands-on experience with satellite EO, EUMETSAT, Copernicus or meteorological data. * Strong Python programming skills and experience with scientific data-processing libraries such as Xarray, Dask and GDAL. * Good knowledge of EO data formats and standards, including NetCDF, GRIB, Zarr, COG, STAC and OGC. * Experience with cloud platforms, data lakes, distributed data architectures and data federation. * Practical experience in data engineering