Leonardo · Darmstadt - EUMETSAT, Germany

Job Description: We are looking to strengthen our engineering team at EUMETSAT, supporting the exploitation of EUMETSAT missions such as MSG, MTG, EPS, EPS-SG and Sentinel-3. The main focus is on MTG and EPS-SG. The work centres on the development and verification of cloud products derived from satellite data, specifically cloud mask, cloud type, and cloud top height. Responsibilities also encompass snow/ice, dust, and volcanic ash detection, the generation of clear-sky reflectance climatologies, the production of all-sky radiance products, and support for active fire monitoring. Key Responsibilities Scientific Development Improve and evaluate cloud products scientifically Focus specifically on contributions to MTG and EPS-SG missions Prototyping Develop prototype processors for MTG and EPS-SG Operational Processing Build hands-on experience with EUMETSAT's Level-2 processing systems Calibration & Validation (Cal/Val) Support the development of tools used to calibrate and validate satellite products Programme Support Respond to requests from GEO and LEO programmes (e.g. reviews, documentation) Help verify the Level-2 processing systems for both MTG and EPS-SG Test Data Sets (TDS) Generate test datasets for MTG and EPS-SG activities Create test datasets to assess the impact of instrumental anomalies Climate Data Records (CDR) Contribute to the generation and validation of long-term climate data records General Contributions Take part in studies and progress meetings, providing input on scientific content Essential Skills and Qualifications Good engineering background in related fields such as Earth observation, data processing, remote sensing etc. Level-2 processing of satellite data Solid background in Python (PyTroll), IDL, Matlab, C++, Java and Fortran on LINUX systems Scientific documentation and review participation Algorithm development/prototype development Fluency in English Seniority: Expert Primary Location: DE - Darmstadt - EUMETSAT Contract Type: Employee-Permanent Hybrid Working: Onsite