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Added 58 mins ago
EI
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National Bank of Canada

Chief Developer in Data Engineering

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Nov 9, 2026
Posting language: English
Posted: Oct 10, 2026

Original job description

A career as a Chief Developer in Data Engineering within the Data Strategy team in the Business Performance, Evolution and Processes sector at National Bank means acting as an analytical data specialist. Leveraging your expertise in data architecture and modeling, your experience building data pipelines, and your knowledge of cloud environments, you contribute directly to data enablement and the transformation of Operations.

Your role

Define and evolve the data
architecture and data models that support the sector’s analytical needs.
Design, develop, and maintain
robust data pipelines (ETL and ELT) within the Bank’s cloud environments.
Develop integrations and
automations that efficiently connect business applications and data
platforms.
Optimize data processing using
SQL and Python to improve solution performance, reliability, and
efficiency.
Implement data quality,
governance, and control mechanisms to ensure data integrity.
Influence the sector’s data
strategy and contribute to the evolution of the data infrastructure
through engineering and automation best practices.

Your
team

The Business Performance, Evolution and Processes Vice-Presidency is made up of specialists who work in an agile, proactive, and collaborative manner to seize opportunities, stay at the forefront of technology, and continuously improve processes.

Within the Business Performance, Evolution and Processes sector, you will be part of the Data Strategy team, responsible for driving Operations’ enterprise-wide transformation, and you will report to the Director of Analytics. You will work closely with passionate data experts to accelerate the delivery of our strategic initiatives.

Our team stands out through its data engineering expertise, collaborative mindset, and commitment to high-quality delivery. We aim to provide maximum flexibility to support your quality of life through a hybrid work environment and a flexible, adaptable schedule.

The Bank values continuous development and internal mobility. Our personalized training programs, based on learning through action, enable you to master your profession and develop new areas of expertise. Tools such as the Data Academy, language training, the Harvard Learning Center, as well as coaching and mentoring opportunities are always available to you.

Requirements

Bachelor’s degree in a related
field and five years of relevant experience, or a master’s degree in a
related discipline and three years of relevant experience.
Strong experience in data
engineering, including ETL and ELT pipeline development, large-scale data
management, data modeling (Data Vault and dimensional modeling), and data
architecture.
Proficiency in SQL and Python
for data transformation, integration, and analytics.
Experience with cloud
environments and modern data platforms, including AWS, Snowflake,
Terraform, as well as Git, GitHub Actions, Bitbucket, and Jira.(Asset)
Knowledge of software
development best practices, automated testing, and continuous integration
and continuous delivery (CI/CD) methodologies.(Asset)
Strong analytical thinking,
autonomy, proactivity, collaboration and influencing skills, as well as
the ability to solve complex problems in a fast-paced and evolving agile
environment.

Languages: French
Required skills: Amazon Web Services, Atlassian Jira, Bitbucket, Cloud Computing, Continuous delivery, Continuous Integration, Data Architecture, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Database Design, Diversity & Inclusion, Github, GitHub Actions, Incident Management, Information Analysis, Snowflake, Software Development Life Cycle, Teamwork, Terraform

Your benefits
In addition to competitive compensation, upon hiring you’ll be eligible for a wide range of flexible benefits to help promote your wellbeing and that of your family such as:

* Health and wellness program, including many options
* Flexible group insurance
* Generous pension plan
* Employee Share Ownership Plan
* Employee and family assistance program
* Preferential banking services
* Involvement in community initiatives
* Telemedicine service
* Virtual sleep clinic

We have an offer that keeps up with trends as well as your needs and those of your family.

Our dynamic work environments and cutting-edge collaboration tools foster a positive employee experience. We value employees’ ideas. Whether through our surveys or programs, regular feedback and ongoing communication are encouraged.

Making a bold move in a people-first environment
We’re a bank on a human scale that stands out for its courage, entrepreneurial culture, and passion for people. Our mission is to have a positive impact on people’s lives. Our core values of partnership, agility, and empowerment inspire us, and inclusion is central to our commitments. We aim, wherever possible, to provide a barrier-free and accessible environment to all employees.

We strive to provide accessibility measures throughout the recruitment process within the limits of our available resources. If you require accommodations, feel free to let us know during our initial conversations. We welcome all candidates! What can you bring to our team?

Join us!

Apply About employer

More about this job

Responsibilities

Define and evolve data architecture and models, and build, maintain, and optimize cloud-based ETL/ELT pipelines and integrations using SQL and Python. Implement data quality and governance controls, and help shape the sector’s data strategy and infrastructure through engineering and automation best practices.

Requirements

Requires a bachelor’s degree in a related field with five years of relevant experience, or a master’s degree in a related discipline with three years of relevant experience. Candidates should have strong data engineering, data modeling, architecture, SQL, Python, and cloud platform experience; knowledge of software development best practices and CI/CD is an asset.

Skills

Data Engineering
Data Architecture
Data Modeling
ETL and ELT
SQL
Python
AWS
Snowflake
Terraform
Git
GitHub Actions
Bitbucket
Jira
Data Governance
Data Quality
CI/CD

Benefits

Health and Wellness Program
Flexible Group Insurance
Pension Plan
Employee Share Ownership Plan
Employee and Family Assistance Program
Preferential Banking Services
Community Initiatives
Telemedicine Service
Virtual Sleep Clinic
Flexible Schedule
Hybrid Work Environment
Training and Development
Coaching and Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Architecture
Data Modeling
Data Vault
Dimensional Modeling
ETL
ELT
Data Pipelines
Data Warehousing
SQL
Python
AWS
Snowflake
Terraform
Git
GitHub Actions
Bitbucket
Jira
Cloud Computing
Data Integration
Data Quality
Data Governance
Automated Testing
Continuous Integration
Continuous Delivery
Agile
Operations Transformation
Banking

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