When applicable, Bombardier promotes flexible and hybrid work policies. 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. Insurance plans (Dental, medical, life insurance, disability, and more) Competitive base salary Retirement savings plan Employee Assistance Program 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
- 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. 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 valuable 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 have effective problem-solving skills with ability to make good decisions to move projects along to meet or exceed the targets. 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. #

📌 Professional Senior, Engineering, Data Engineer, Data Analytics (Dorval)
🏢 Bombardier
📍 Dorval