Find work in Canada.

320,165 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 21 mins ago
Sr. SAP BO Consultant
Aarorn Technologies Inc
Markham, ON
$65 CAD / hour
Contract
We are seeking a skilled SAP BO Developer to design, develop, maintain, and support SAP BusinessObjects reporting and analytics solutions. The ideal candidate will have experience in SAP…
Added 1 hour ago
Consultant, Financial Services-Insurance & Wealth & Asset Management
KPMG
ON · Toronto, Ontario
Full-time
…opportunity to work at the intersection of strategy, operations, data, technology, and AI, this is a strong platform to build…
Added 1 hour ago
Application & Integration Technical Analyst
City of Saint John
Saint John, NB
Full-time
…Analyst is a technical lead responsible for system architecture, data strategy, and integration frameworks, ensuring the reliability, scalability, and security of critical business systems.…
Added 4 hours ago
Director, Business Intelligence
Viral Nation
Canada
Full-time
Deep technical proficiency in analytics and BI technologies, including Python and SQL for analysis and data modeling, Google Cloud Platform, BigQuery, and Snowflake for data infrastructure,…
Added 4 hours ago
Architecte / Spécialiste senior Microsoft Fabric & Power BI – Modélisation sémantique
CGI
Montreal, QC
Full-time
CGI is looking for a senior Microsoft Fabric and Power BI specialist to contribute to a major enterprise-scale data and analytics transformation program.
Added 4 hours ago
Manager, Data Architecture
Black Diamond Group
Calgary, AB
Full-time
…ecosystem. The successful candidate will strengthen the existing platform, mature the organization’s medallion architecture, deliver trusted enterprise data products, and assess the…
Added 5 hours ago
Programme LEAP hiver 2027, Stagiaire - Finances commerciales | Winter 2027 LEAP Intern - Commercial Finance
Keurig Dr Pepper
Mississauga, ON
Full-time
…commercial metrics into a centralized, self-service reporting platform. The intern will partner with Finance, Sales, and RGM to streamline reporting, automate data refreshes, and create a…
Added 6 hours ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
RBC Wealth Management (WM) Data & AI is responsible for driving data driven decision making end-to-end across our global businesses. We're modernizing our data architecture, building out BI…
Added 6 hours ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
RBC Wealth Management (WM) Data & AI is responsible for driving data driven decision making end-to-end across our global businesses. We're modernizing our data architecture, building out BI…
Added 7 hours ago
Strategic Finance Analyst
Actionstep
Remote, Canada
Full-time · Remote
Experience with a cloud data warehouse platform (e.g., Snowflake) or BI/reporting tools (e.g., Power BI).
Added 8 hours ago
Business Systems Analyst
McCoy Corp
Edmonton, AB
…process-improvement skills with hands-on capabilities in ERP systems, data, reporting, and automation to identify practical, sustainable solutions to business…
Added 8 hours ago
Manager, Exchange Traded Products Compliance Advisory (5444)
TD
Toronto, ON
Full-time
Perform LOPR Options and Futures reviews which would include data validation and testing.
Added 9 hours ago
Revenue Operations Manager
Lightspeed Commerce, Inc.
Remote, Canada
Full-time · Remote
…processes, establishing robust reporting frameworks, and ensuring data-driven decisions across the…
Added 9 hours ago
Microsoft Dynamics 365 Developer
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Montreal, QC
Full-time
MICROSOFT POWER PLATFORM DEVELOPER | POWER APPS, POWER AUTOMATE, POWER BI, DATAVERSE
Added 9 hours ago
Technical Architect Director - PubSec - Mulesoft Canada
Emplo Inc.
Gatineau, QC
Full-time
across one or more of the platform stack (Salesforce Data 360, Informatica IDMC, MuleSoft).
Added 9 hours ago
Microsoft Power Platform Developer
Apptoza Inc.
Montreal, QC
Temporary
Job Summary: We are seeking an experienced Microsoft Power Platform Developer to design, develop, and implement enterprise-grade business applications and workflow automation solutions…
Added 9 hours ago
Data Analyst, Principal
Dayforce
Canada
Our award-winning Cloud HCM platform offers a unified solution database and continuous calculation engine, driving efficiency, productivity and compliance for the global workforce.
Added 10 hours ago
Microsoft Power Platform Developer
Apptoza Inc.
Quebec, QC
Contract
Job Summary: We are seeking an experienced Microsoft Power Platform Developer to design, develop, and implement enterprise-grade business applications and workflow automation solutions…
Added 10 hours ago
Python/SQL Developer - Consultant
Akkodis
Toronto, ON
Contract
Akkodis is seeking the services of an experienced Python/SQL Developer Consultant to support a large-scale application and data platform migration initiative within a leading Canadian…
Added 10 hours ago
Microsoft Power Platform Developer
Pacer Group
Montreal, QC
$58 to $60 CAD / hour
Contract
Job Title: Microsoft Power Platform Developer
Added 10 hours ago
Senior AI Business Analyst
R Systems
Canada
Contract
…Our product mindset and engineering capabilities in Cloud, Data, AI, and CX enable us to serve key players in the high-tech industry, including ISVs, SaaS, and Internet companies, as well…
Added 10 hours ago
Microsoft Developer
LanceSoft, Inc.
Montreal, QC
$50 to $60 USD / hour
Contract
Job Summary: We are seeking an experienced Microsoft Power Platform Developer to design, develop, and implement enterprise-grade business applications and workflow automation solutions…
Added 10 hours ago
Supply Chain Planning Specialist
Bushbalm Skincare
Ottawa, ON
Full-time
…Manager. This role runs the day-to-day planning cycle, the data, the inventory analysis, and the reporting that the whole supply chain plans…
Added 10 hours ago
Power BI Developer
Quadra
Vaudreuil-Dorion, QC
We are looking for a Power BI Developer to build and own the reports, dashboards and semantic models behind those decisions - close to the business, close to the data, and accountable for…
Added 10 hours ago
Microsoft Power Platform Developer
LanceSoft, Inc.
Montreal, QC
$60 to $62 CAD / hour
Contract
We are seeking an experienced Microsoft Power Platform Developer to design, develop, and implement enterprise-grade business applications and workflow automation solutions using the…

RBC

Staff Data Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Nov 6, 2026
Experience: 5+ years of professional experience in data engineering or related roles
Posting language: English
Posted: Oct 1, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

RBC Wealth Management (WM) Data & AI is responsible for driving data driven decision making end-to-end across our global businesses. We're modernizing our data architecture, building out BI and analytics capabilities, and developing cutting-edge AI/ML solutions - from traditional machine learning to Generative AI - to support our Global Executive Leadership as well as our Digital and Global Investment teams.

What will you do?

Architect, establish, maintain, and evolve the data foundation and analytical environments that support BI/analytics workloads and downstream AI/ML consumers with high performance and reliability

Design, build, and maintain scalable, production-grade data pipelines that ingest, transform, and serve both structured and unstructured data across WM LoBs
Design data models and schemas that serve multiple consumer types - BI dashboards, reporting, and downstream ML pipelines - balancing performance, flexibility, and reusability
Build and maintain APIs and integrations that expose data to downstream consumers, including AI/ML systems and business workflows
Define clean data contracts and interfaces with downstream AI/ML and BI teams - schemas, SLAs, and freshness guarantees - to ensure reliable handoffs
Implement monitoring, logging, and observability for data pipelines to ensure reliability, performance, and compliance
Optimize pipeline and storage performance and cost (e.g., query tuning, partitioning, compute/storage cost management) across Dev, UAT, and Production environments
Create, maintain, and develop data assets across Dev, UAT, and Production environments, ensuring consistency
Identify, source, stage, and model improvements to partially/completely automate the most common, repeatable and tedious manual data preparation and integration tasks, and optimize data delivery for greater scalability, as part of the end-to-end data lifecycle
Implement data quality frameworks, automated testing, and monitoring to ensure data integrity and trust across all downstream consumers
Support data cataloging and metadata management practices to ensure data assets are discoverable, well-documented, and governed
Support DevOps and DataOps best practices, including CI/CD, infrastructure-as-code, and automated testing across data pipelines
Use version control systems (e.g., GitHub) and data/schema comparison tooling to manage code and data changes safely across environments

What do you need to succeed?

Must-have

Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related technical field
5+ years of professional experience in data engineering or related roles
Strong programming skills in Python and SQL, with hands-on experience building and optimizing APIs and data pipelines at scale
Deep experience with modern data platforms and tools such as Databricks, Snowflake, Spark, and cloud-native data services (AWS, Azure, or GCP)
Solid understanding of data warehousing, data lakehouse architectures, and data modelling concepts - and when to apply each
Knowledge of and experience implementing medallion (bronze/silver/gold) architecture patterns for structuring data lakehouse layers
Experience designing data models and pipelines that serve multiple consumer types (e.g., BI/reporting and downstream ML use cases)
Proficiency with DevOps/DataOps practices and CI/CD tooling (e.g., GitHub Actions, Jenkins, Azure DevOps) for data pipelines
Experience with automated unit testing methodologies for data pipelines and transformations
Strong experience with data governance, data quality, and data security best practices
Passion for problem-solving and tackling challenges in real-world contexts, leveraging large-scale datasets and modern data approaches

Nice-to-have

Familiarity with Generative AI workflows, including RAG pipelines, vector databases, and LLM serving infrastructure
Knowledge of streaming data technologies (e.g., Kafka, Kinesis, or Spark Streaming)
Experience with infrastructure-as-code tools such as Terraform or CloudFormation
Knowledge of financial services, wealth management, or investment management domains
Experience building or enabling AI-driven automation such as AI agents, workflow orchestration, or decision engines
Experience with data cataloging/metadata management tools (e.g., Unity Catalog, Collibra)

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
Flexible work/life balance options
Opportunities to do challenging work
Opportunities to take on progressively greater accountabilities
Access to a variety of job opportunities across business

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Quality Management, Requirements Analysis, Waterfall Model

Additional Job Details

Address:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

WEALTH MANAGEMENT

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-03-26

Application Deadline:

2026-11-06

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

Our Employment Opportunities

At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One 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.

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.

Apply About employer

More about this job

Responsibilities

The Staff Data Engineer will architect and maintain scalable data pipelines and analytical environments to support BI, analytics, and AI/ML workloads. They will also implement data quality frameworks, ensure data governance, and optimize pipeline performance across development and production environments.

Requirements

Candidates must have a bachelor's degree in a technical field and at least 5 years of professional experience in data engineering. Proficiency in Python, SQL, and modern cloud-native data platforms like Databricks or Snowflake is required.

Skills

Python
SQL
Data Engineering
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Warehousing
Data Lakehouse
CI/CD
DevOps
Data Governance
Data Quality
API Development

Benefits

Bonuses
Flexible benefits
Competitive compensation
Commissions
Stock options
Flexible work-life balance

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Lakehouse
Medallion Architecture
CI/CD
DevOps
DataOps
Data Governance
Data Quality
API
Generative AI
RAG
Vector Databases
Kafka
Terraform
Unity Catalog
Collibra
Machine Learning
BI
Analytics
Data Modeling
Infrastructure-as-code
Wealth Management

Report this job