Data Engineer

RBC; Toronto; Hybrid; CAD 80,000 - 110,000; Full time

Job summary

RBC is seeking a skilled Data Engineer to join their Group Risk Management team in Toronto. The successful candidate will facilitate the transformation of data and optimize pipelines to support operational risk management. This role involves collaborating with data scientists and analysts to enhance how data is used across the organization. Candidates should possess significant experience with big data technologies, strong software development skills, and an ability to apply DevOps practices for improved delivery of data solutions.

Benefits

Comprehensive Total Rewards Program

Flexible work/life balance options

Dynamic, collaborative team environment

World-class training program in financial services

Qualifications

• 3+ years of experience with Big Data Ecosystem (Hadoop, Spark, Hive).
• Professional experience in software development with Python, Spark, Linux, SQL.
• Experience with job scheduling tools (Airflow preferred) and integrating codebases.

Responsibilities

• Ingest and transform large-scale datasets for key risk indicators.
• Design and optimize data pipelines for reporting.
• Leverage DevOps practices for software delivery.

Skills

Big Data Management

Cloud Computing

Database Development

ETL Processing

Data Mining

Data Warehousing

Education

Bachelors in Computer Science

Masters/PhD considered an asset

Tools

Hadoop

Spark

Linux

SQL

Git

Jenkins

Airflow

Docker

Kubernetes

Job description

Job Summary

Job Description

What is the opportunity?

As a Data Engineer within the Group Risk Management (GRM) team, you will assist a team of Data Scientists and Data Analysts in leveraging data across RBC to be used in helping Operational Risk Managers better understand, monitor, and manage risks at RBC. You will manage the ingestion and processing of various data sources across RBC used to feed Analytics pipelines. You will also work to incorporate DevOps/CICD processes into the development process, to help streamline and automate deployments.

What will you do?

• Ingest and transform large-scale OR datasets to be used for computing key risk indicators (KRIs) and building OR models.

• Design and optimize data pipelines for dashboarding and reporting

• Work with numerous data sources across RBC to help Risk Managers monitor Operational Risk

• Use GitHub, Airflow, Jenkins, Artifactory, and Spark to develop and deploy ETL’s/DAG’s

• Create software artifacts and patterns for reuse within the team

• Help improve data management processes towards acquiring, transforming, and storing data

• Leverage DevOps practices to streamline and automate software delivery

What do you need to succeed?

Must-have:

• 3+ years of experience working with the Big Data Ecosystem (Hadoop, Spark, Hive)

• Professional software development experience with Python, Spark, Linux, and SQL

• Experience integrating codebases with Git, Jenkins, Artifactory, and similar tools

• Experience using job scheduling tools (Airflow preferred) to manage ETLs

• Bachelors in Computer Science, Software Engineering, or other STEM majors. Masters/PhD considered an asset.

Nice-to-have

• Experience with REST API and microservice frameworks

• Experience working with containers (Docker, Kubernetes)

• Experience working in an Agile team

• Experience with dashboarding and reporting tools (Tableau)

• Strong critical thinking and creative problem-solving skills

• Strong communication skills both in written and verbal

What’s in it for you?

We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.

• A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable

• Leaders who support your development through coaching and managing opportunities

• Ability to make a difference and lasting impact

• Work in a dynamic, collaborative, progressive, and high-performing team

• A world-class training program in financial services

• Flexible work/life balance options

• Opportunities to do challenging work

#LI-Post

#LI-Hybrid

#TechPJ

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis

Additional Job Details

Address:

20 KING ST W:TORONTO

City:

TORONTO

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

GROUP RISK MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2025-02-11

Application Deadline:

2025-06-30

Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above

Inclusion and Equal Opportunity Employment

At RBC, we believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.

Join our Talent Community

Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you.

Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.