Design, develop, and validate satellite payload data processing algorithms and applications.
Collaborate with remote sensing experts, scientists and engineers to translate mission requirements into robust software solutions.
Contribute to the full processing chain from raw satellite data to higher-level Earth Observation products.
Ensure software quality through testing, documentation and version control best practices.
Support the integration of applications into operational processing environments.
Stay up to date with emerging technologies, programming methods and trends in the space industry.

Master’s degree in Physics, Engineering, Computer Science, Remote Sensing, or another relevant discipline.
A PhD in a relevant discipline would be advantageous.
Strong background in scientific software development, remote sensing and algorithm design.
In-depth understanding of the physics relevant to Earth Observation missions (e.g., radiometry, spectroscopy, radar, atmospheric physics).
Practical experience with satellite data exploitation or remote sensing algorithm development.
Proficiency in Python, ideally including Jupyter notebooks, version control (Git) and collaborative workflows.
Familiarity with scientific computing libraries and data processing frameworks (e.g., NumPy, xarray, GDAL, rasterio).
Ability to work effectively within an interdisciplinary team and communicate complex technical topics clearly.
Familiarity with Linux environments and shell scripting.
Organised and methodical working style, with strengths in analysis, synthesis, and presentation.
Proficiency in English (spoken and written).

All our benefits can be found here: Benefits – Careers Telespazio (careers-telespazio.de)

Scientific Software Developer – Remote Sensing Applications

Key skills