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Added 10 mins ago
HC
E-Commerce and Analytics Manager
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Toronto, ON
- Full-time
Reports To: Senior Director, Integrated Marketing
Added 55 mins ago
HT
Java Spark Backend Developer
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- $50 to $55 CAD / hour
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Added 1 hour ago
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UO
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Added 1 hour ago
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Senior Estimator
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Added 1 hour ago
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Added 2 hours ago
A
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Added 2 hours ago
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Senior Director, IT Delivery and Technology Platforms
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Added 2 hours ago
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Added 3 hours ago
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Added 3 hours ago
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National Bank of Canada

Chief Data Engineering Developer

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 30, 2026
Posting language: English
Posted: Oct 31, 2026

Original job description

A career as a Chief Data Engineering Developer on the Analytics and Data team at National Bank means acting as a data engineering expert. In this role, you will have a direct impact on how the organization leverages and evolves its data through your expertise in data solution development, analytical processing architecture, and technical leadership. Your role

Support teams in the design, development, and evolution of solutions that expose, transform, and maximize the value of data.
Advise partners and development teams on best practices, technology choices, and data engineering approaches that best meet business needs.
Develop and optimize data processing workflows, pipelines, and components to ensure solution performance, quality, and sustainability.
Conduct technical reviews and contribute to resolving complex issues related to data, performance, or integration.
Collaborate with architecture, data governance, and technology partner teams to ensure a consistent and scalable vision for solutions.
Contribute to continuous improvement, development automation, and knowledge sharing initiatives to increase team autonomy.

Your team The Analytics, Data and Digital Vice-Presidency is made up of specialists who work in an agile, proactive, and collaborative environment to maximize the value of data, support digital transformation, and generate sustainable impact across the organization.

Within the Analytics and Data sector, you will be part of a large multidisciplinary team responsible for the development and evolution of the Horizon platform, reporting to the Senior Director, Governance and Enablement. Our team stands out for its strong collaboration, value-driven mindset, and strategic role in democratizing data across the organization.

We strive to offer maximum flexibility to support your quality of life. This includes a hybrid work environment as well as a flexible and adaptable schedule.
The Bank values continuous learning and internal mobility. Our personalized training programs, based on hands-on learning, help you master your craft and develop new areas of expertise. Resources such as the Data Academy, language training, the Harvard Learning Center, and coaching and mentoring opportunities are available to you at all times. Prerequisites

Hold a bachelor’s degree in information technology, data engineering, or a related field, and have a minimum of five years of relevant experience.
Possess significant experience in data engineering and the development of analytical solutions.
Demonstrate strong expertise in SQL and the optimization of complex queries in large-scale data environments.
Demonstrate solid experience in Python development.
Work with cloud-based data platforms, particularly Snowflake
Possess Data modélisation experience, like Data Vault.
Apply modern engineering practices, including CI/CD, DevOps, and ideally data governance principles.

Languages: French
Required skills: Big Data, Cloud Computing, Data Architecture, Data Cleansing, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Database Design, Diversity & Inclusion, Incident Management, Initiative, Learning Agility, Resiliency, Software Development Life Cycle, Teamwork, Technical Documentation

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

Lead and advise on the design, development, and evolution of data solutions, including analytical processing architectures, workflows, and pipelines. Optimize performance and quality, conduct technical reviews, resolve complex data and integration issues, and collaborate on scalable solutions and continuous improvement.

Requirements

A bachelor’s degree in information technology, data engineering, or a related field and at least five years of relevant experience are required. Candidates should have substantial data engineering experience, strong SQL and complex-query optimization skills, Python development experience, familiarity with cloud data platforms such as Snowflake, data modeling experience such as Data Vault, and knowledge of modern engineering practices including CI/CD and DevOps.

Skills

Big Data
Cloud Computing
Data Architecture
Data Cleansing
Data Conversion
Data Modeling
Data Pipelines
Data Structures
Data Warehousing
Database Design
SQL
Python
Snowflake
CI/CD
DevOps
Data Governance

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 Learning Resources
Coaching and Mentoring

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Analytics
Data Solutions
Data Processing Architecture
Big Data
Cloud Computing
Snowflake
SQL
Python
Data Pipelines
Workflow Optimization
Complex Query Optimization
Data Modeling
Data Vault
Data Warehousing
Database Design
Data Governance
CI/CD
DevOps
Technical Reviews
Performance Optimization
Data Integration
Development Automation
Agile
Incident Management
Technical Documentation
Data Quality
Digital Transformation

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