Asset Integration Engineer (Aviation Data & Analytics)

As an Asset Integration Engineer, you will be the technical bridge between Skywise and global partners like Delta TechOps, GE Aerospace, Collins Aerospace and Liebherr. You will help them integrate their expert predictive models into Skywise, the backbone of Airbus data infrastructure, to make global aviation safer and more sustainable., * Model integration: Build and improve the model integration pipeline, focusing on automating data workflows and enabling efficient data integration.

• Technical Support & Integration: Serve as the support for partners, helping them retrieve aircraft data (parameters, logbooks) and integrate their maintenance models into our ecosystem.
• Build Data Pipelines: Automate data workflows to transform disparate datasets into “high-signal” models.
• Innovate & Research: Autonomously research R&D topics, proposing new AI/ML possibilities and technical architectures to optimize scaling and cost.
• Global Collaboration: Participate in weekly discussions with international partners and managers, occasionally traveling to collaborate with global teams.
• Product Vision: Participate in technical discussions, documentation needs, research, and innovation and sustainability topics.

• Aviation Knowledge: You understand basic aircraft systems, the types of parameters they generate, and the sensors (temperature, vibration, pressure) used to monitor flight health.
• Tech Skills: You have basic experience (or an MS equivalent) with coding, preferably: Python, SQL, and Regex.
• Analytical Mindset: You can look at a data set and enjoy the detective work required to understand what stands behind them.
• Open to Learning: You are excited to master tools like Palantir Foundry, Apache Spark (PySpark), and specialized python frameworks which stand behind skywise platform.
• Communicator: Proficiency in English to explain complex technical solutions to both fellow engineers and non-technical stakeholders.
• Education: Bachelor’s or Master’s degree in Computer Science, Data Science or related field, or equivalent professional experience.
• Experience: Required: Minimum 2+ years experience (or MS equivalent).
• Curiosity: Capability to propose new opportunities and solutions (e.g., new AI/ML possibilities, tech architecture). Ability to research autonomously in R&D topics.

• Being part of Airbus Network
• Flexible hours
• Vacation Days (15-24 days)
• Christmas Shut Down
• 12 Sick Days
• Training and Development Support
• Strong work-life balance
• Casual dress code
• Competitive group benefits plan
• Maternity & Paternity benefits
• Work travel ability
• Strong focus on mental health support benefits
• Generous pension scheme
• Access to Employee Share Scheme
• Learning and Development support
• Referral program
• Summer Core Hours
• Rewards and Recognition program
• Monthly Lunch and Learns
• Active Inclusion and Diversity Committee
• And much more!

AI Disclosure: No artificial intelligence tools are used to screen, assess, or select candidates for this role

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.

Skywise is a leading digital services company, wholly owned by Airbus. We deliver a first-of-its-kind offer that seamlessly integrates Planning & Operations Control, Flight, Technical, and Ground Operations. By providing interoperable digital solutions for end-to-end operations, Skywise combines aircraft manufacturer expertise and digital know-how to transform operational complexity into predictable and profitable performance, ensuring resilient and more sustainable operations., Airbus is, and always has been, committed to equal opportunities for all. As such, we will never ask for any type of monetary exchange in the frame of a recruitment process. Any impersonation of Airbus to do so should be reported to emsom@airbus.com.