Aircraft Performance Engineer - External Models (BADA/ANP)

Airbus; Getafe; Hybrid; EUR 55,000 - 85,000; Full time

Benefits offered by this job

Hybrid work model

Life insurance

Health insurance

On-site canteen

Job summary

Airbus Operations SL in Getafe (Madrid) seeks an Aircraft Performance Engineer to own External Performance Models (BADA/ANP) and drive long-term improvement roadmaps. You will bridge governance with technical validation and lead validation studies using Python-based tools.

The role requires 3+ years in aircraft performance modeling, strong analytical skills, and advanced English. Hybrid work is possible, with opportunities to contribute across Airbus teams and industry benchmarks.

Qualifications

• Education in aeronautical or mechanical engineering.
• More than 3 years of professional experience in aircraft performance modeling or related engineering.
• Advanced proficiency in Python or scripting languages for tooling and data comparison.
• Advanced English both written and spoken.

Responsibilities

• Serve as primary focal point and governance lead for external partners and internal stakeholders (e.g., Eurocontrol, EASA).
• Perform technical validation and risk assessment by designed studies to compare model outputs with Airbus reference data.
• Develop and maintain internal automation tools using Python to support model comparison and validation.
• Manage ANP dataset generation and validation for EASA and internal stakeholders.
• Monitor external ecosystem tools (TIM, Piano, OpenAP, CO2 calculators) for opportunities and risks.
• Produce technical notes and guidelines to share best practices across Airbus teams.

Skills

Python

Analytical thinking

Communication

English fluency

Education

Aeronautical Engineering

Mechanical Engineering

Tools

OpenAP

Job description

Airbus Operations SL in Getafe (Madrid) seeks an Aircraft Performance Engineer to own External Performance Models (BADA/ANP) and drive long-term improvement roadmaps. You will bridge governance with technical validation and lead validation studies using Python-based tools.

The role requires 3+ years in aircraft performance modeling, strong analytical skills, and advanced English. Hybrid work is possible, with opportunities to contribute across Airbus teams and industry benchmarks.