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# Copernicus Data Processing & Maintenance Engineer [26135]

- **Company:** Sopra Steria GmbH
- **Location:** Darmstadt, Germany
- **Contract:** Permanent contract
- **Skills:** Confluence, Bash Shell, Software Bug Management, Data Validation, Linux, Monitoring of Systems, Python (Programming Language), Operational Data Store, Software Engineering, Data Processing, Gitlab, Git, Api Design, Docker
- **Published:** July 29, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=d2a0b7c0a06d0035

## About the Role

* 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.

## Description

* 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.


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