National Bank of Canada

Offers personal and commercial banking services

Chief Data Engineering Developer

Data EngineeringConfirmed live in the last 24 hours

Full-timeCanadaNo salary listed

About the Job

Requirements

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 modelling experience, such as Data Vault.
Apply modern engineering practices, including CI/CD, DevOps, and ideally data governance principles.

Responsibilities

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.

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

About the Company

National Bank of Canada

Offers personal and commercial banking services

NBC provides personal and commercial banking, wealth management, and financial planning to individuals, SMEs, and large institutions. Its products operate through deposits, loans, mortgages, and investment services delivered via branches, digital platforms, and advisory teams to support client needs. It differentiates itself with a strong presence in Quebec, a customer-centric, human-focused approach, and a focus on long-term relationships rather than generic offerings. The goal is to help clients achieve financial well-being while expanding NBC’s footprint and positive impact in the communities it serves.

Company size: Not listed
Company stage: IPO
Headquarters: Québec City, Canada
Founded: 1859

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