Copernicus Data Processing Engineer 70–110K

vor 1 Woche


Frankfurt RhineMain Metropolitan Area, Deutschland Dafne Space Vollzeit

Company Description

Dafne Space is a dynamic company specializing in satellite engineering and operations, with a focus on remote sensing. The team offers expert consultancy services to European Space Agencies, major industrial businesses, and operators. Based in the Frankfurt Rhine-Main Metropolitan Area, we are known for our professional expertise and innovative solutions in the space sector.

Role Description

This is a full-time role for a Data Processing Engineer to provide software engineering services to our customer, the European Organisation for the Exploitation of Meteorological Satellites (EUMETSAT) based in Darmstadt, Germany.

You will support the definition, procurement, integration and verification (I&V) of Earth Observation Data Processing Systems and Applications for the new programmes of Copernicus.

The main focus will be on the Ground Segment elements specifics of the near real-time processing of the level 0, level 1, and level 2 data for the new missions CIMR, CRISTAL and MicroCarb.

Qualifications

  • Strong skills and with operational Earth Observation science data processing.
  • Experience with the Qualification and Production Phase of software systems
  • Experience in requirements definition and consolidation
  • Experience in software and system IVV
  • Experience of operating and maintaining software systems in Linux.
  • Experience in software testing life cycle and automated testing
  • Experience with software building and packaging, make, CMake, RPM.
  • Experience with, git and gitlab, and svn.
  • Experience with application programming of database systems.
  • Knowledge of scripting languages (e.g., bash, shell, Perl) and high-level languages (e.g., Python, Java).
  • Knowledge of ECSS standards, quality assurance and configuration management principles and applications.
  • A background in aerospace, Earth Observation, or remote sensing is required.
  • Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

Your Benefits

  • attractive salary according to experience
  • 33 days of annual leaves
  • onsite parking, canteen, cafeteria, library, gym, several sport and cultural clubs
  • highly flexible working times and teleworking option


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