Senior Data Engineer – Hybrid Cloud Platform (AWS/Snowflake)
Senior data engineer on National Bank of Canada's Horizon team, designing, building and operating a hybrid data and analytics platform on AWS and Snowflake. Day to day: scalable data pipelines, infrastructure-as-code with Terraform, DataOps/DevOps, CI/CD, security and automated testing. Hybrid role in Montreal; French required.
- Compensation
- Not disclosed
- Location
- Montréal, Canada
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- Bachelor's degree in computer science, software engineering, computer engineering or related field
- 5-7 years of experience in data platform development in a large enterprise
- SnowPro Core COF-C03 certification, or obtain it within the first year
- Proficiency in AWS (EC2, S3, Lambda, IAM, CloudWatch, Step Functions, Glue)
- Proficiency in Python, Snowflake and Terraform
- Advanced DevOps experience: CI/CD, automated testing, application security, containerisation
- Advanced experience with AI-assisted development tools (Claude Code, GitHub Copilot, Codex, Cursor)
- Significant experience designing large-scale data solutions
- Proficiency in agile development, code review, documentation and testing practices
- French language
Nice to have
- Spark
Full description
Area(s) of interest: Business intelligence and data
Location(s): Montreal
A career as a Senior Developer in Platform Data Engineering on the Horizon team at National Bank means helping to design, develop and operationalise a data and analytics platform based on snowflake and AWS cloud services. This position allows you to have a positive impact on modernising our solutions thanks to your expertise in data engineering, automation and DevOps practises.
Design, develop and maintain robust, efficient and scalable data pipelines on AWS and snowflake.
Data ingestion, transformation and exposure mechanisms to ensure availability, reliability and scalability.
Evolve the data platform by automating the infrastructure with Terraform and applying DataOps best practises.
Define and implement development, security, governance, documentation and automated testing standards.
Optimize code quality and solution performance through code reviews, artificial intelligence-assisted development tools, and ongoing integration and deployment practises.
Support team members by sharing your technical expertise and actively contributing to agile activities and releases.
Your team
The Vice-President – Data and Operational risk is a number of specialists who work in an agile, proactive and collaborative manner to seize opportunities, stay on the cutting edge of technology and continuously improve processes.
On the Horizon: Big Data and Analytics ecosystems team, you will be part of a team of 25 experts and report to the Manager – Analytics Assets. Our team stands out for its collaboration, sharing technical expertise and commitment to continuously improving its practises. Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible, adaptable schedule.
The Bank values continuous development and internal mobility. Our personalised training programs, based on on on-the-job learning, help you master your profession and develop new fields of expertise. Tools such as the Data Academy, language training, the Harvard Learning Centre and coaching and mentoring support are available to you at any time.
Prerequisites
A bachelor’s degree in computer science, software engineering, computer engineering or a related field, and 5 to 7 years of experience in data platform development in a large enterprise.
SnowPro Core COF-C03 certification or be able to obtain it within the first year.
Proficient AWS, including EC2, S3, Lambda, IAM, CloudWatch, Step functions and Glue, as well as Python, snowflake and Terraform.