Professional Senior, Engineering, Data Engineer, Data Analytics

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. Bombardier’s Benefits Program With our employees’ well-being top of mind, we offer a comprehensive and competitive Benefits Program, which includes the following: Insurance plans (Dental, medical, life insurance, disability, and more) Competitive base salary Retirement savings plan Employee Assistance Program Tele Health Program What are your contributions to the team? Design, build, and maintain robust and scalable data pipelines to extract, transform, and load (ETL) data from various sources into data warehouses or data lakes; Develop supporting tools as needed to enhance data management and operational efficiency; Propose, Validate and implement technical solutions adapted to our current landscape; Integrate data from multiple sources, including internal databases, third-party APIs, and external data feeds, to provide an output based on business requirements; Interact with different organizations to ensure seamless integration of the provided solution; Create and maintain comprehensive documentation for data pipelines, processes, and system architectures to ensure transparency and ease of maintenance; Identify and resolve data-related issues and risks, including debugging data pipelines and addressing data quality concerns. How to thrive in this role? You have a Bachelor’s degree in Computer Science, Engineering, Information Systems, Aerospace, or a related field with a minimum of 5 years in data engineering; You have good knowledge of Python & SQL (SQL Server, Oracle, etc.) and software development; You have good knowledge of ETL processes, data integration, and data pipeline development (Argo Workflow or similar); You have some knowledge in Machine Learning & AI; You have experience with MS Office suite (MS Access VBA, MS Excel VBA), Power BI and Power Apps; You demonstrate a professional attitude and superior communication skills (essential); You have excellent organizational, time management skills, foresight, accuracy, attention to detail and commitment to objectives and responsibilities; You have a proactive attitude and ability to manage multiple priorities; You have a strategic mind and attention to details, supporting your interest in taking over responsibilities; You are self-motivated, autonomous and enthusiastic; You demonstrate ability to work willingly and independently in a fast paced, challenging environment; You have effective problem-solving skills with ability to make good decisions to move projects along to meet or exceed the targets. Now that you can see yourself in this role, apply and join the Bombardier Team! Please note: You don’t need all the skills, knowledge, and experience listed to apply for this position. We’re not looking for the perfect candidate, we’re looking for great talent and passionate individuals. 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. Interested in joining Bombardier? Bombardier is hosting a Virtual Engineering Hiring Event on October 22 and 23, 2026. Hours: 8:30 a.m. to 5:00 p.m. Format: Virtual interviews via Microsoft Teams Registration is required. Only selected participants will be invited to attend. Registration closes on October 20, 2026, at 12:00 p.m. Register here: Job Professional Senior, Engineering, Data Engineer, Data Analytics Primary Location Administrative Centre (CA) Organization Aerospace Canada Shift Day job Employee Status Regular Requisition 14661 Professional Senior, Engineering, Data Engineer, Data Analytics