JOB DESCRIPTION:

In order to support the AirSense team, Airbus Defence and Space is looking for a

WORKING STUDENT WITHIN SOFTWARE ENGINEERING (D/F/M)

You are a full time student, looking for a working student position and want to get to know the work of a real-time data streaming engineer (d/f/m)? Then apply now! We look forward to you supporting us in the AirSense team as a working student (d/f/m) with approx. 18 hours a week!

• Location: Taufkirchen/Ottobrunn
• Start: November 2025
• Duration: 12 months

In this position you will join an experienced team of Cloud Software Engineers, Data Analysts and Domain Experts in building novel approaches that tackle the challenge of real-time flight monitoring, flight tracking and fleet management decision support solutions for air traffic operations.

DESIRED SKILLS AND QUALIFICATIONS

• Enrolled Full-time student (d/f/m) within Software Engineering or Computer Science
• Experience with at least one or more of of Python, Java or Rust
• Experience with reliable software solutions with continuous delivery processes (CI/CD, best-practices in software development, etc.)
• Bachelors degree in computer science. Engineering, mathematics and physics disciplines will also be considered based on software development background
• Ability to think autonomously and solution-oriented mindset
• English fluent skills
  Please upload the following documents: a portfolio or presentation of past projects is welcome , CV, relevant transcripts, enrollment certificate.
  Not a 100% match? No worries! Airbus supports your personal growth.
  Take your career to a new level and apply online now!
  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.

EXPERIENCE LEVEL:

Student

• Familiarize with available aviation datasets to create modern, reliable flight data real-time streaming pipelines delivering several Airbus projects and activities.
• Increase the robustness of our data pipelines with advanced disruption management algorithms under different disruption scenarios such as data supplier outage and subsequent recovery stage, AirSense underlying data pipeline infrastructure outages, etc.
• Implement product features as per defined requirements answering business needs
• Test and validate implementation and results from our transformation data pipelines.