Specialist, Aircraft Reliability & Predictive Maintenance

Bombardier; Dorval; On-site; CAD 85,000 - 120,000; Full time

Benefits offered by this job

Insurance plans

Employee Assistance Program

Competitive base salary

Job summary

Bombardier is seeking a Specialist, Aircraft Reliability & Predictive Maintenance to enhance fleet availability and reliability through advanced analytics. You will blend aerospace engineering with data-driven methods to identify degradation trends and optimize maintenance strategies across Bombardier's global fleet.

Key work includes developing Python-based tools, collaborating with data scientists and engineers, and supporting Aftermarket and CRC teams with actionable insights.

Qualifications

• Bachelor's degree in Aerospace Engineering or related engineering field.
• Experience in aircraft systems, reliability, or maintenance engineering preferred.
• Knowledge of data analytics, AHMS, and predictive maintenance advantageous.

Responsibilities

• Analyze aircraft reliability and maintenance data to identify degradation patterns and opportunities.
• Support root cause analysis and development of corrective actions.
• Develop and validate Condition Monitoring Events using analytics and models.
• Collaborate with systems specialists, suppliers, and service teams to improve fleet reliability.
• Support evolution of maintenance programs toward data-driven strategies.
• Coordinate with Aftermarket teams to translate insights into maintenance actions.
• Monitor fleet health and provide near real-time operational support via cloud tools.
• Develop Python-based tools and data workflows for fleet health monitoring.

Skills

Python

SQL

Data analysis

Education

Bachelor's degree in Aerospace Engineering

Tools

Python

SQL

Data analysis tools

Job description

When applicable, Bombardier promotes flexible and hybrid work policies.

Why join us?

At Bombardier, we design, build and maintain the world’s peak-performing aircraft for the world’s most discerning people and businesses, governments and militaries. We have been successful in setting the highest standards by putting our people at the heart of it all, and defining excellence, together.

Working at Bombardier means operating at the highest level. Every day, you are part of a team that delivers superior experiences and products, pushing the boundaries of what's possible in our industry and beyond. By prioritizing employee growth and development, we empower everyone to reach their full potential on their own terms, because the best work happens when you are free to be yourself and share your unique expertise.

Benefits

• Insurance plans (Medical, life insurance, and more)
• Employee Assistance Program
• Competitive base salary

What are your contributions to the team?

The Aircraft Reliability & Predictive Maintenance team within the Connected Aircraft program is seeking a talented and business-oriented specialist to help improve fleet availability, aircraft reliability, and maintenance effectiveness across Bombardier's global fleet.

In this role, you will combine aerospace engineering, reliability analysis, maintenance practices, and engineering analytics to identify emerging degradation trends, support condition-based maintenance strategies, and advance predictive maintenance capabilities for Bombardier aircraft. You will work closely with aircraft system specialists, customer support teams, suppliers, and data scientists to transform operational and maintenance data into actionable engineering insights.

Analytics, Python development, and AI technologies are important tools in this role, but the primary focus is understanding aircraft systems, reliability drivers, failure mechanisms, and maintenance optimization opportunities.

Responsibilities

• Analyze Connected Aircraft data, including Aircraft Health Monitoring System (AHMS) and maintenance data, to identify degradation patterns, reliability opportunities, and emerging issues across aircraft systems and components
• Investigate operational events and reliability trends to support root cause analysis and the development of corrective actions
• Develop, validate, and continuously improve Condition Monitoring Events (CMEs) using engineering principles, operational experience, data analytics, and predictive models
• Collaborate with aircraft systems specialists, suppliers, and service engineering teams to improve fleet reliability and product performance
• Support the evolution of maintenance programs and condition-based maintenance initiatives, promoting the transition from scheduled maintenance to data-driven maintenance strategies
• Act as a key liaison with Aftermarket teams, including Technical Services, the Customer Response Center (CRC), and Field Service Representatives (FSRs), ensuring operational insights are translated into practical maintenance actions
• Monitor fleet health and provide near real-time operational support using advanced cloud-based tools and digital applications
• Develop and maintain Python-based analytical tools, scripts, and data workflows to support fleet health monitoring and predictive maintenance initiatives
• Work with data scientists and software development teams to integrate advanced analytics and AI capabilities into customer-facing predictive maintenance solutions
• Document engineering analyses, predictive maintenance logic, and reliability findings using version control and engineering best practices
• Support user enablement, training activities, and continuous improvement of Bombardier's Predictive Maintenance applications
• Represent Bombardier in reliability, maintenance, and industry working groups related to aircraft health monitoring and predictive maintenance

Preferred educational background:

• Bachelor's degree in Aerospace Engineering, Mechanical Engineering, Systems Engineering, Reliability Engineering, Aircraft Maintenance Engineering, or a related engineering discipline

Preferred experience:

• Experience in aircraft systems, aircraft maintenance, aircraft reliability, or aerospace engineering
• Knowledge of aircraft health monitoring, reliability analysis, failure investigation, or fleet performance management
• Understanding of Line Replaceable Units (LRUs), aircraft systems architecture, and maintenance troubleshooting
• Experience with condition-based maintenance, predictive maintenance, MSG-3 methodology, or maintenance program optimization is considered a strong asset

Technical skills:

• Strong analytical and problem-solving abilities
• Experience with Python, SQL, and data analysis tools
• Familiarity with cloud-based analytics platforms and data visualization tools
• Ability to work with large operational and maintenance datasets
• Experience applying statistical methods to engineering or reliability problems

Assets:

• Experience with machine learning, artificial intelligence, or predictive analytics
• Knowledge of Aircraft Health Monitoring Systems (AHMS) and Connected Aircraft technologies
• Experience working within the aerospace, aviation, defense, or transportation industries

Bombardier is an equal opportunity employer and encourages persons of any race, religion, ethnicity, gender identity, sexual orientation, age, immigration status, disability, or other applicable legally protected characteristics to apply.

Job Specialist, Aircraft Reliability & Predictive Maintenance

Primary Location Administrative Centre (CA)

Organization Aerospace Canada

Shift Day job

Employee Status Regular

Requisition 12309 Specialist, Aircraft Reliability & Predictive Maintenance