Airbus

Internship (d/f/m) in Payload Data Processing for space-borne Instruments

Immenstaad am Bodensee
Internship
Posted Nov 2, 2026

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Skills

Python
Compliance
German
Git
Recruiting

Job description

Job Description:

In order to support our Data Processing team, Airbus Defence and Space is looking for an

Intern in Payload Data Processing for space-borne Instruments (d/f/m)

•Location: Friedrichshafen

•Start: March 2027

•Duration: 3–6 months

In strong collaboration with the instrument engineering teams, the department develops the on-ground processing of scientific instrument measurement data.

This internship focuses on remote sensing data processing and software development, combining scientific and engineering tasks for Earth Observation missions. As an intern (d/f/m), you will

•Gain experience in engineering within a cross-disciplinary and international team.

•Learn about Earth observation from space and space science methods.

•Develop software in a mixed science and industry context, including: Algorithm development and testing. Code hygiene and performance optimization. Testing and build chains.

Your location

At the Airbus site in Friedrichshafen, you’ll work on innovation while enjoying the benefits of a scenic location. Relax with panoramic views of Lake Constance during lunch in our canteen. After work, join our corporate sports groups for activities like running, sailing, or skiing.

Your benefits

•Attractive salary and a 35-hour workweek with flexitime for a balanced work-life integration.

•International environment with opportunities to network globally.

•Work with modern and diverse technologies.

•Active participation in team meetings—you’re a valued member, not just an assistant.

•Opportunity to join the Generation Airbus Community to expand your professional network.

Your tasks and responsibilities

•Understand the measurement concept of Earth Observation payloads and their data processing workflows.

•Design, prototype, and analyze algorithms for: Geometric processing of remote sensing data. Radiometric and spectral processing for space-borne instruments (e.g., imagers, radars, sounders).

•Identify and implement development lifecycle activities to ensure the system meets regulatory and program requirements.

Desired skills and qualifications

•Enrolled full-time student (d/f/m) within aerospace or numerical engineering, natural sciences, physics, mathematics, software engineering or similar field of study

•Basic experience with a high-level programming language like Python.

•Experience in numerical analysis or computational physics is advantageous.

•Familiarity with version control systems (e.g., Git) is a plus.

•Fluent in English or German.

Please upload the following documents: cover letter, CV, relevant transcripts, enrolment certificate.

Not a 100% match? No worries! Airbus supports your personal growth.

Take your career to a new level and apply online now!

#MYCYM

This job requires an awareness of any potential compliance risks and a commitment to act with integrity, as the foundation for the Company’s success, reputation and sustainable growth.

Company:

Airbus Defence and Space GmbH

Employment Type:

Internship -------

Experience Level:

Student

Job Family:

Support to Management

By submitting your CV or application you are consenting to Airbus using and storing information about you for monitoring purposes relating to your application or future employment. This information will only be used by Airbus.

Airbus is committed to achieving workforce diversity and creating an inclusive working environment. We welcome all applications irrespective of social and cultural background, age, gender, disability, sexual orientation or religious belief.

Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom airbus.com .

At Airbus, we support you to work, connect and collaborate more easily and flexibly. Wherever possible, we foster flexible working arrangements to stimulate innovative thinking.