Senior Data Engineer – Real-Time Data & Risk Analytics

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

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,