Space Systems Test Automation Engineer (Hybrid)

Airbus S.A.S.; Fryerning; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid working

Competitive salary

Pension scheme

On-site parking

Career development

Job summary

Airbus S.A.S. is seeking a Systems Test Engineer to design, build and deploy complex test sites for Space Equipment within the Satellite industry.

You will automate tests, handle DUT sequencing and data acquisition, and contribute to architectural evolution of future high-performance test platforms. You will work in a team of around 30, focusing on instrument control accuracy, robust error handling and scalable automation software in Python and Java.

Qualifications

• Degree or equivalent in Electronics, Telecommunications, Engineering, Aerospace, Physics or similar.
• Experience testing instruments, systems, equipment and devices (DUT/EUT/UUT).
• Proven automation of tests for instruments and control interfaces.
• Strong focus on test system stability, instrument control accuracy and robust error handling.
• Proficient with NoSQL databases; MongoDB experience preferred.

Responsibilities

• Design, code, and maintain clean, scalable test automation software in Python and Java.
• Develop automated routines for instrument control, DUT sequencing, data acquisition, and result file generation.
• Establish best practices for code reviews, automated testing, CI/CD and technical debt management.
• Support architectural evolution of future high-performance test platforms.

Skills

Test automation

Python

Java

DUT testing

CI/CD

Instrument control

Education

Bachelor's degree or equivalent in Electronics/Engineering

Tools

MongoDB

Job description

Airbus S.A.S. is seeking a Systems Test Engineer to design, build and deploy complex test sites for Space Equipment within the Satellite industry.

You will automate tests, handle DUT sequencing and data acquisition, and contribute to architectural evolution of future high-performance test platforms. You will work in a team of around 30, focusing on instrument control accuracy, robust error handling and scalable automation software in Python and Java.