Copernicus Data Processing & Maintenance Engineer [26135]

CS GROUP, together with HE Space and Sopra Steria, has been successfully providing digital end-to-end systems and engineering services for more than 40 years. With over 2000 employees worldwide, we combine advanced and unique skills in both information technology and space data engineering. We combine entrepreneurial agility with cutting-edge technological expertise. CS GROUP is a leading provider of operational systems and an important and trusted long-term partner for space and defence organisations. At CS GROUP, we are driven by innovation and we value our most important asset: our people.

Responsibilities

Development, implementation and maintenance of operational scientific data algorithms and product processing software to derive geophysical parameters from remote sensing data,; Development of product quality monitoring software and tools,; Analysis and resolution of science data processing anomalies,; Instrument navigation, registration and calibration,; Calibration and Validation (Cal/Val) preparation, planning and execution, maintaining the expertise of Level 1 and Level 2 product Cal/Val,; Applications of satellite data in meteorology, oceanography, and atmospheric composition,; Scientific document writing.

Requirements

Experience with Sentinel-3 Level 2 Atmospheric Products, particularly Clouds, Aerosols and Water Vapour processing.; Practical knowledge of atmospheric retrieval validation, including Aerosol Optical Depth (AOD) and Total Column Water Vapour (TCWV) products. Experience with match-up generation, validation datasets and performance assessment is highly desirable.; Experience supporting and maintaining operational Copernicus NRT processors for atmospheric products, including anomaly investigation, bug fixing, processor validation and operational monitoring.; Strong background in scientific software development using Python and/or C within a Linux environment. Experience with Git/GitLab, CI/CD pipelines and RPM-based deployments is desirable.; Experience developing and maintaining data validation and monitoring tools, including automated monitoring pipelines, dashboards and web-based monitoring solutions.; Ability to develop and maintain scientific data processing and analysis tools, including handling of satellite and in-situ datasets, statistical analysis and validation reporting.; Experience with operational data processing environments and tooling such as Docker, HTCondor, Linux, Bash scripting and API-based data processing systems would be a strong advantage.; Experience producing technical documentation, validation reports, software release documentation and maintaining project documentation in GitLab/Confluence environments.; Background in remote sensing, Earth Observation, atmospheric science, physics, environmental science or a related discipline.