When applicable, Bombardier promotes flexible and hybrid work policies.
Why join us?
The Digital Innovation Office within the Afterspanet Products & Services group has a single priority: our discerning customers. We strive to satisfy all their maintenance and operations needs by building a portfolio of cutting-edge digital applications, leveraging the latest technology on our thousands-strong fleet of business jets. Through big data and analytics, we blur the lines between the physical and digital worlds to elevate the customer experience.
The Data Science & AI team is seeking a skilled data engineering specialist to build data pipelines and help industrialize AI/ML models supporting our afterspanet digital products and services. You will join a collaborative and dynamic team of data scientists and ML engineering professionals working on complex challenges, using the latest cloud services and technology stack. If you’re looking to shape the future of aviation while expanding your expertise, this opportunity is for you.
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?
- Support the Afterspanet Cloud Data Platform team ingest various sources of data such as the Smart Link Plus / Aircraft Health Management System (IoT) bulk transfers from our in-service aircraft
- Develop and maintain ETL pipelines that bring raw data (bronze) to a state easily consumable by AI/ML (gold), for example by our state-of-the-art Predictive Maintenance solution
- Monitor and optimize the pipelines for cost and performance, working closely with the AI & Cloud Architect and ML engineers
- Work in close collaboration with data scientists and other stakeholders of the Digital Innovation Office, such as product owners and business analysts, to ensure the pipelines meet business needs and quality requirements
- Assist ML engineers develop and maintain AI/ML pipelines serving our customer-facing, cloud-based Digital Portfolio of applications
- Enforce DevSecOps best practices
- Establish a robust governance to control data access and protect sensitive data
- Lead new initiatives thus ultimately contributing to our culture of innovation and data-centric vision
How to thrive in this role?
- You have a bachelor’s degree in computer science, Engineering, or related field
- You have experience integrating ETL pipelines in a business context with proven benefits
- You have experience deploying big data pipelines in the cloud
- You have experience with AI/ML pipelines (asset)
- You have experience with Snowflake or Databricks (asset)
- You have experience with time-series data, particularly telemetry data (asset)
- You master Python, SQL, and Bash
- You are proficient in data manipulation and analysis using Pandas or similar tools
- You are proficient in big data processing using Spark or similar tools
- You are result-driven, open-minded, curious, autonomous, and enthusiastic
- You are a team player with above-average communication skills in English and French
Please note: You don’t need all the skills, knowledge, and experience listed for this position! We’re not looking for the perfect candidate, we’re looking for great talent and resourcefulness.
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 Data Engineering Specialist
Primary Location Administrative Centre (CA)
Organization Aerospace Canada
Shift Day job
Employee Status Regular
Requisition 6112 Data Engineering Specialist
