Senior Data Engineer

National Bank of Canada; Montreal (administrative region); Hybrid; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Health and wellness program

Flexible group insurance

Generous pension plan

Employee Share Ownership Plan

Employee and family assistance program

Preferential banking services

Community involvement

Job summary

National Bank of Canada is seeking a data engineering developer within the modelling and risk strategies team. You will expose modelling and risk data from ingestion to implementation, optimise big data pipelines with SQL and Spark, and shape data architecture to support analytics across the bank.

A hybrid work arrangement is offered to promote flexibility. The role emphasizes collaboration, data quality monitoring, and contributions to data strategy while leveraging tools like Snowflake,

Qualifications

• Languages: French
• Experience with data design, management, transformation and modelling including data vault or dimensional modelling
• Experience in manipulating and processing big data
• Proficiency in SQL, Python, Spark or SAS
• Experience with development and delivery cycle management tools such as Jira, Jenkins or GIT
• Knowledge of a cloud data warehouse such as Snowflake

Responsibilities

• Expose modelling and risk strategies, collection and recovery data from ingestion to implementation
• Implement data quality monitoring solutions, optimise SQL and Spark tasks to improve data processing
• Influence business lines in organising and presenting data and participating in data strategy
• Identify and document authoritative data sources that meet business needs
• Design, automate and implement real-time data integration solutions per Bank best practices
• Determine data analytics infrastructure needs and develop the tech environment accordingly

Skills

French language proficiency

Communication

Data Architecture

Data Cleansing

Data Conversion

Data Modeling

Data pipeline

Data Structures

Data Warehousing

Databricks

Initiative

Leadership

Learning Agility

Snowflake

Teamwork

Technical Documentation

Education

Relevant training in data science, statistics, computer science, economics or mathematics

Tools

Jira

Jenkins

GIT

Snowflake

Databricks

SQL

Python

Spark

Job description

A career as a data engineering developer in the modelling and risk strategies team at National Bank means serving as a data analytics specialist. This position allows you to have a direct impact on transforming the organisation's analytical capabilities thanks to your expertise in data engineering, data integration, data architecture and optimisation of analytical environments.

Your job

• Responsible for exposing modelling and risk strategies, collection and recovery data in the Bank's target analytical environment, from ingestion to implementation
• Implement data quality monitoring solutions, optimise SQL and spark tasks to improve data processing and implement performance indicators related to data analysis
• Influence the business lines in organising and presenting data and participating in data strategy
• Help identify and document authoritative data sources that meet the needs of our business lines
• Design, automate and implement real-time data integration solutions that meet the needs of the sector,in accordance with Bank best practises
• Determine data analysis infrastructure needs and develop the technological environment accordingly.

In the risk modelling and strategies, Collection and Recovery sector, you will be part of a unit responsible for transforming the sector and reporting to the Senior Manager – Data and Decision-making Tools. Our team stands out for its expertise, collaboration and delivery quality.

Our goal is to offer you maximum flexibility to promote your quality of life. This includes a hybrid work environment and a flexible and 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

• Relevant training such as data science, statistics, computer science, economics or mathematics, as well as 5 years of relevant experience in data engineering
• Experience in data design, management, transformation and modelling, including approaches such as data vault or dimensional modelling
• Experience in manipulating and processing big data
• Proficiency in at least one of the following data languages or technologies: SQL, Python, Spark or SAS
• Experience with development and delivery cycle management tools such as Jira, Jenkins or GIT.
• Knowledge of a cloud data warehouse such as snowflake.

Languages: French

Required skills: Communication, Data Architecture, Data Cleansing, Data Conversion, Data Modeling, Data pipeline, Data Structures, Data Warehousing, Databricks, Initiative, Leadership, Learning Agility, Snowflake, Teamwork, Technical Documentation

Your benefits

• 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!