Job Description

What is the opportunity?
You'll join the GRM Portfolio Risk Oversight team, which provides independent, effective monitoring, control, and communication on material risks for Business Financial Services (BFS). As a Senior Data & Analytics Engineer, you'll contribute to BFS risk oversight strategies by delivering high quality risk data assets and supporting our open-source data infrastructure. Success in this role means developing strong relationships with business leaders and supporting decision-making through custom analytics and continuous evolution of our Analytics models. Our best-in-class analytics stack requires ongoing refinement to provide business users with relevant, timely self-serve analytics capabilities.

As a hands-on practitioner, you will ensure data is accurately tracked, maintained, and analyzed to optimize processes and support business objectives. You will design, build, and maintain our open-source analytics stack, creating reliable data pipelines and workflows that drive analytics initiatives across the team. The Senior Data & Analytics Engineer will be instrumental in supporting data-driven decisions, risk evaluation, and automation efforts. You will work with technologies such as Python, SQL, Apache Airflow, JupyterHub, Docker, Trino, CDP (Hadoop), Spark, OCP, GitHub Actions, and Red Hat Enterprise Linux (RHEL), ensuring data pipelines are robust, well-documented, and validated for accuracy and completeness.

What will you do?

Develop and maintain our open-source Analytics stack infrastructureAssist in maintaining enterprise data solutions across platforms, including RBC’s data lake and databases.Design, deploy, and automate data pipelines while enhancing our data engineering architectureCreate software for retrieving, parsing, and processing structured and unstructured dataDefine and build scalable ETL/ELT workflows for reporting and analyticsSupport the project team to scale, monitor, and operate data platforms for very high availability and performanceCreate and implement data quality frameworks ensuring completeness, accuracy, and integrityEstablish systematic data validation processes to ensure reporting and analytics accuracy

What do you need to succeed?
Must have:

Bachelor’s degree in computer science, Information Systems, Statistics, or related fieldProven experience in data/analytics engineering, including designing and optimizing data pipelines, DB schemas, ETL processes, and data warehousing.5+ years' experience in data engineering using Python and Bash, including data ingestion from various formats, API data acquisition, and data processing with libraries like NumPy and PandasStrong understanding of Git-based workflows and GitHub, with the ability to establish repository standards, branching strategies and automation pipelinesExperience implementing and supporting modern data stack technologiesAdvanced SQL skills with ability to write complex queries for extracting and integrating data from multiple sourcesStrong background in data processing and transformation technologiesDevelopment experience with open-source frameworks and toolsExperience building data pipelines with Apache AirflowExperience working with RHEL (Red Hat Enterprise Linux)
 

Nice-to-have:

Experience in Financial Services, especially Business Financial ServicesKnowledge of data governance, data quality, and data securityStrong understanding of Credit Risk Management

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 applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high-performing teamA world-class training program in financial servicesOpportunities to do challenging workOpportunities to take on progressively greater accountabilities    Opportunities to building close relationships with clientsAccess to a variety of job opportunities across business and geographies

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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:

ROYAL BANK PLAZA, 200 BAY ST: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:

2025-11-25

Application Deadline:

2026-02-20

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.

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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.