Overview In this role you will lead aerodynamic design and modelling for Airbus Defence & Space aircraft, delivering robust aerodynamic data and models to support performance, handling qualities and loads. You will work within Flight Physics in a multidisciplinary environment, liaising with partners to meet program requirements. You will advance numerical and experimental prediction tools, contribute to wind tunnel campaigns, and connect with external research to drive optimisation and technology development.

This is an impactful opportunity to shape external shapes and aerodynamics for diverse aircraft programs.

Compensaciones / Ventajas flexible working arrangements diversity and inclusion commitment permanent contract full-time role

Responsabilidades

Design external air vehicle shapes and provide comprehensive aerodynamic models and data for performance, handling qualities and loads in steady and unsteady regimes

Deliver optimised aerodynamic solutions and data to customers within time, cost, and quality constraints

Develop and maintain technologies, methods, tools, and competencies across Aerodynamics to support programmes lifecycle

Contribute to achievement of vehicle project aerodynamic and flight performance requirements within time, cost, and quality targets





Develop expertise in numerical and experimental aerodynamic prediction tools

Advance aerodynamic technologies in line with Company Strategy

Engage with external research community in Aerodynamics and multidisciplinary air vehicle design

Collaborate with related disciplines (structures, loads, stability & control, mass properties) to support integrated design

Link with international partners and multidisciplinary teams to ensure alignment with program goals

Requisitos principales Master's degree in Aerospace Engineering (PhD level valuable)

At least 5 years of experience in aerodynamic design and characterisation

Strong experience in meshing and numerical aerodynamic prediction tools

Strong experience in generating aerodynamic databases from experimental and CFD data

Strong experience in CAD tools

Knowledge/experience in wind tunnel testing (valuable)

Knowledge/experience in safe separation (valuable)

Knowledge/experience in Python and Matlab (valuable)

English advanced; German and/or French valuable

Meshing and numerical aerodynamic prediction tools

Generation of aerodynamic databases from experimental and CFD data

CAD tools

Wind tunnel testing

Safe separation knowledge

Python

📌 Aerodynamics Engineer (Getafe)
🏢 Airbus Defence And Space
📍 Getafe