AI & Data Engineer – Al Ain-based – Etihad Airways

Etihad Airways is hiring a AI & Data Engineer – Al Ain-based, based in Al Ain, Abu Dhabi. Etihad Airways is the UAE’s national airline, flying passengers and cargo worldwide from its hub in Abu Dhabi. This role sits inside AI and data engineering, supporting the airline’s digital and data systems — the behind-the-scenes technology that keeps flights, pricing, operations or customer systems running reliably at airline scale.

Depending on the exact mandate, expect responsibilities spanning building or maintaining data pipelines and models, delivering technical product roadmaps, or managing vendor systems (such as PROS-type revenue or pricing platforms) that the wider airline business depends on operating correctly, every day, without exception. Aviation technology work has unusually low tolerance for downtime, since the systems involved often touch live flight operations or revenue.

Etihad Airways will be looking for someone with relevant technical experience (data engineering, software delivery or systems/product management depending on the role), strong stakeholder skills to work with both technical and operational teams, and the reliability mindset that aviation-grade systems demand.

Modern airlines like Etihad Airways run on data and systems as much as on aircraft — pricing engines, operational data pipelines and customer-facing platforms all have to work correctly and reliably, because the downside of getting it wrong isn't an abstract bug report, it's a real operational or commercial disruption that touches actual flights and actual passengers the same day. AI and data engineering exists specifically to prevent that: building and maintaining the technical backbone that lets the rest of the airline operate with confidence that the numbers, the systems and the data feeding decisions are sound. That's a higher bar than most corporate technology work, because the tolerance for 'we'll fix it next sprint' is much lower when a live pricing or operations system is involved. The person who does this well becomes someone the operational side of the business can genuinely rely on, which is a form of trust that's earned slowly and lost quickly.

Working AI and data engineering inside an airline like Etihad Airways is a strong, differentiated line on a technology CV — aviation systems carry a reliability and scale bar that's genuinely harder than a lot of standard corporate IT work, and that's recognised by other employers, in and out of aviation. It also builds a specific kind of cross-functional fluency that's valuable long-term: understanding both the technical side and the operational, commercial reality of an airline is a combination that's rarer than pure technical skill alone, and it opens doors toward senior technical product or engineering leadership roles later on. The UAE package for roles at this level is typically tax-free and competitive, usually including medical insurance, annual leave and often travel benefits given the airline context. Beyond the immediate job, exposure to a genuinely mission-critical, 24/7 operational environment builds engineering discipline — rigorous testing, careful change management, real incident-response habits — that's a durable asset in any future technical role, whether that's staying in aviation or moving into another high-reliability industry. For a AI & Data Engineer - Al Ain-based role specifically, what actually separates a strong hire from an average one is consistency on the fundamentals, day after day, not any single standout moment.

• Relevant technical degree and demonstrable experience in AI and data engineering
• Strong data, engineering or systems/product delivery skills depending on the specific role
• Experience working with cross-functional technical and business stakeholders
• Comfortable with the reliability and change-management discipline needed for operationally critical systems
• Clear communication of technical work to non-technical airline operations stakeholders
• Aviation or airline industry experience is an advantage, though not always essential