National Bank of Canada

Offers personal and commercial banking services

Senior Data Engineer

Data EngineeringConfirmed live in the last 24 hours

Full-timeCanadaNo salary listed

About the Job

Requirements

A bachelor's or master's degree in a related field and 3 to 5 years of relevant experience.
Expertise in data engineering, particularly data design and modelling using data vault and dimensional approaches.
Strong analytical skills and a solid understanding of data models and data, including the ability to explore data, understand relationships, and assess data consistency and quality.
Experience in designing, developing and operating large-scale data solutions in distributed and cloud environments.
Proficiency in SQL and Python, as well as data processing optimisation practices.
Knowledge of Kafka and hands-on experience developing or operating real-time data processing solutions.
Understanding of issues related to data quality, governance, security and valuation.

Responsibilities

Define and develop solutions and data models that meet the sector's analytical needs, while ensuring a thorough understanding of data models, structures, relationships and meaning.
Design, develop and maintain robust and high-performance data pipelines in batch or real-time processing with Kafka, in cloud environments.
Integrate and automate data between systems and business applications, then optimise processing with SQL and Python.
Implement governance, control, quality and security mechanisms to ensure data integrity and confidentiality.
Influence the evolution of data strategy, platforms and infrastructures, while promoting the adoption of recognised engineering and automation practices.

Desired Qualifications

Knowledge of Amazon Web Services, Snowflake, Terraform and collaborative development tools, as well as DevOps practices, automation, automated testing and continuous integration and deployment pipelines, is an asset.

A career as a Senior Developer in Data Engineering on the Financial crime and regulatory projects team at National Bank means serving as a Data Analytics Specialist. This position allows you to have a positive impact on our organisation thanks to your expertise in engineering, design, modelling, integration and data governance. You will help modernise our platforms, enhance our information assets and advance the sector's analytical and operational capabilities.

Your job

Define and develop solutions and data models that meet the sector's analytical needs while ensuring a thorough understanding of data models, structures, relationships and meaning.
Design, develop and maintain robust and high-performance data pipelines, in batch or real-time processing with Kafka, in cloud environments.
Integrate and automate data between systems and business applications, then optimise processing with SQL and Python.
Implement governance, control, quality and security mechanisms to ensure data integrity and confidentiality.
Influence the evolution of data strategy, platforms and infrastructures, while promoting the adoption of recognised engineering and automation practises.

Your team

Within the Financial crime and regulatory projects sector, you will be part of the FinCrim Data Warehouse team and report to the Senior Manager – Technology Delivery – Data and Analytics. The team stands out for its expertise in data engineering and its commitment to developing reliable, high-performance and scalable solutions that support the Bank's financial crime activities and regulatory initiatives.

You will work in a stimulating technological environment where collaboration and continuous improvement help transform business needs into concrete data solutions. 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 or master’s degree in a related field and 3 to 5 years of relevant experience
Expertise in data engineering, particularly data design and modelling using data vault and dimensional approaches.
Strong analytical skills and a solid understanding of data models and data, including the ability to explore data, understand relationships, and assess data consistency and quality.
Experience in designing, developing and operating large-scale data solutions in distributed and cloud environments.
Proficient SQL and Python as well as data processing optimisation practises.
Knowledge of Kafka and hands-on experience developing or operating real-time data processing solutions.
Knowledge of Amazon Web Services, Snowflake, Terraform and collaborative development tools, as well as DevOps practises, automation, automated testing and continuous integration and deployment pipelines, an asset.
Understand issues related to data quality, governance, security and valuation.

Languages:

English, French

Reason to require this language: you will need to discuss frequently with our service providers or partners who speak a language other than 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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