Methods & Tools Software Developer (Military Derivatives) - getafe

Overview

A continuación se detalla todo lo que necesita saber sobre lo que implica esta oportunidad, así como lo que se espera de los solicitantes.

In this role you will design, implement, and maintain software tools for test data analysis within Airbus Ground Station projects. You will bridge the Analysis Community in Spain with the Ground Station team, guiding tool support and driving the migration toward the Time Series Analysis Tool Platform for Military. You’ll translate complex models into efficient software and shape the future technology stack for analysis tools. This role offers impact across multiple defence programs and a collaborative, cross-functional environment.

Compensaciones / Beneficios

• Vacation days plus additional days-off
• Attractive salary
• Hybrid working model
• Collective transport service
• Health insurance
• Employee stock options or retirement plan

Responsabilidades

• Design, implement and maintain software tools for test data analysis
• Collaborate with specialized Test Analysis groups to convert mathematical models into software tools
• Guide migration and integration of tools into the Time Series Analysis Tool Platform for Military (TSASM)
• Serve as main technical contact between Ground Station Team and Spanish Analysis Community
• Provide ongoing tool support and communication across domains such as Avionics, Mission, Performance, and Datalinks

Requisitos principales

• Bachelor’s or Master’s in Aeronautical Engineering, Aerospace Engineering, or related scientific computing discipline
• Strong MATLAB programming for scientific applications
• Proficiency in Python with NumPy, Pandas, SciPy, Matplotlib, and Jupyter
• Knowledge of CI/CD tools (Git required; Jenkins and Nexus desirable) and Agile practices xkdbapo (Jira, Confluence)
• Ability to implement mathematical equations into efficient code
• Advanced English; Spanish desirable for local coordination

• Excellent interpersonal and communication skills
• Ability to translate complex software concepts to non-software engineers
• Cross-functional collaboration and stakeholder management
• MATLAB for scientific computing
• Python and core data analysis libraries (NumPy, Pandas, SciPy, Matplotlib, Jupyter)
• CI/CD and Agile tooling (Git, Jenkins, Nexus, Jira, Confluence)