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As a Senior Reliability Engineer, you will play a critical role in protecting and enhancing the reliability, availability and on-time performance of the Virgin Atlantic fleet, second only to safety. You will lead complex reliability investigations, shaping fleet performance priorities and influence decision-making with senior stakeholders across Engineering, Operations and Maintenance.
Job Responsibility:
Lead reliability analysis for one or more aircraft fleet types
Conduct complex reliability investigations and drive effective, sustainable corrective actions
Proactively identify emerging reliability trends and risks, working with SMEs to implement containment and long-term improvement actions
Drive cross-functional reliability initiatives, ensuring effective collaboration with engineering, operations and maintenance programme teams
Produce clear, insightful reliability and performance reporting for senior engineering and operational stakeholders
Conduct the review of the maintenance programme, completing non-routine analysis and supporting maintenance optimisation
Support aircraft entry into service, fleet changes and aircraft returns as required
Support and mentor other Reliability Engineers, promoting technical excellence and data driven decision making
Ensure continued compliance with CAA regulations while maintaining fleet availability and performance
Develop predictive reliability approaches using AI and apply advanced analytics to support improved aircraft performance and maintenance optimisation
Requirements:
Hold a relevant engineering degree (Aeronautical Engineering or equivalent), or have an aircraft maintenance technician qualification, or have proven experience in a similar role
Have a strong working knowledge of aircraft systems and engines, gained within an airline or OEM environment
Have a solid understanding of CAA, EASA and other National Airworthiness Authority Regulations and experience of Part M/CAMO and ETOPS
Possess a good understanding of maintenance programmes, including MSG-3 methodology and the maintenance optimisation process
Demonstrate advanced analytical capability, with strong skills in data manipulation, analysis and presentation
Have experience in developing smart reliability metrics and translating complex data into clear, actionable insight
Have strong communication skills and the ability to influence decisions at senior levels
Be capable of leading projects and driving cross functional initiatives
Nice to have:
The ability to champion the use of data science applications such as machine learning and AI predictive modelling to identify trends, risks and root causes
The ability ensure all AI/ML applications align with aviation regulatory and compliance requirements
Detailed understanding of the application of AI, machine learning or advanced analytics tools in a regulated aviation environment
Knowledge of aircraft health monitoring or reliability tools used by Boeing and or Airbus
Experience in the application of structured investigation methodologies such as Six Sigma (or similar)
Previous experience mentoring or coaching engineers