Find work in Canada.

328,095 jobs across our Canadian network. How we count

Jobs in Canada

Save this search

Added 9 hours ago
Senior Data Scientist Implementation and Codification
National Bank of Canada
Richmond Hill, ON
Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 14 hours ago
Opentext Developer
Randstad Digital
Toronto, ON
Contract
Database & SQL: Strong proficiency in writing complex SQL queries and working with databases such as Oracle, MS SQL Server, or PostgreSQL.
Added 1 day ago
Senior Data Scientist Model Developement and Validation
National Bank of Canada
Richmond Hill, ON
Full-time
Hands-on experience with SAS, Python, MS Excel (VBA) or SQL.
Added 4 days ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
Data Engineering: Python, Kafka, MS SQL Server, Elasticsearch stack, Azure Databricks
Added 1 day ago
IT Architect, Architecture & Analytics – Enterprise Analytics
Saputo Inc.
Mississauga, ON
Full-time
Added 1 day ago
Finance Manager, Canada Customer Fulfillment, Canada East
Amazon
Toronto, ON
Full-time
Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Added 1 day ago
IT Project Manager
Pan American Silver Corp.
Vancouver, BC
$120,000 to $130,000 CAD / year
Full-time
Familiarity with programming languages, including web based PHP, Java, Java Script and database and operating systems experience such as MS-SQL, Oracle, Exchange, SharePoint, etc.
Added 1 day ago
Machine Learning Scientist II - Marketing Optimization
Wayfair
Toronto, ON
$168,960 to $188,776.5 CAD / year
Full-time
Experience with Python ML ecosystem (numpy, pandas, sklearn, XGBoost, etc.) and/or Apache Spark Ecosystem (Spark SQL, MLlib/Spark ML) Familiarity with GCP (or AWS, Azure), ML model…
Added 2 days ago
Quality Improvement Specialist
SHIPSHEY
Mississauga, ON
$55,833.33 to $67,000 CAD / year
Full-time · Temporary
Write SQL queries to extract data from the data sources.
Added 2 days ago
Senior Maintenance Manager
JLL
Hamilton, ON
Full-time
Thinks big! Proficient data analyst and new processes developer/adapter.
Added 2 days ago
Business Support Analyst - Finance
Canadian Natural
Calgary, AB
Full-time
…Orchestrator, OpenInvoice, Power BI dashboard development, and Oracle SQL scripting for data retrieval, along with strong application support skills. The candidate will apply analytical…
Added 2 days ago
Student Intern, Power Infrastructure - Pricing Management and Product Data Analysis
Celestica International LP
Toronto, ON
$23 to $30 CAD / hour
Knowledge of SQL programming language is an asset.
Added 2 days ago
Finance Manager, Canada Outbound Finance
Amazon
Toronto, ON
- Experience working with large-scale data mining and reporting tools (examples: SQL, MS Access, Essbase, Cognos) and other financial systems (examples: Oracle, SAP, Lawson, JD Edwards)
Added 2 days ago
Analyste en Intelligence d'Affaires / Business Intelligence Analyst
McKesson
Montreal, QC
Full-time
Maîtrise des systèmes ERP, du réapprovisionnement, IA et des systèmes SQL un atout.
Added 2 days ago
Student, Full Stack Developer
Sun Life
Toronto, ON
Full-time
Sun Life DMS is looking for a contract/Co-Op Full Stack Web Developer with strong communication and Collaboration skills to work closely with technical and non-technical audiences (written,…
Added 2 days ago
Asset Investment Analyst
Toronto Hydro
Toronto, ON
Experience with Alteryx, SQL and Tableau (preferably in a utility environment) is considered an asset
Added 2 days ago
Senior Business Systems Analyst
IFG - International Financial Group
Toronto, ON
$85 to $90 CAD / hour
Contract
Strong SQL skills for data analysis and investigation
Added 3 days ago
Windows Engineer
Swoon
Toronto, ON
$120,000 to $130,000 CAD / year
Full-time
Virtualization & Clustering: Strong foundational background in VMware vSphere/ESXi multi-node clustering and Windows Failover Clustering (including MS SQL clusters).
Added 3 days ago
Senior Software Engineer, Operations
Sun Life
Toronto, ON · Waterloo, ON · Sun Life Waterloo King
Full-time
Database technologies like SQL, Oracle, POSTGRES
Added 10 days ago
ICQA Data Analyst, YEG2
Amazon
AB · Parkland County, Alberta
- 1+ years of using SQL to extract and manipulate data experience
Added 3 days ago
Technical Delivery Lead
Kochasoft
ON · Ontario, Canada
Full-time
Familiarity with Oracle and/or MS SQL Server.
Added 3 days ago
Senior Programmer
Toronto Police Service
Toronto, ON
Full-time
Experience with relational databases (MS SQL Server, DB2/UDB, Oracle), including data modelling concepts. Experience with writing, analyzing and optimizing SQL queries.
Added 3 days ago
Java Full Stack Systems Developer
Axelon Services Corporation
Montreal, QC
$77.93 USD / hour
Other
Deep expertise in relational databases (preferably PostgreSQL, MS SQL Server, or DB2).
Added 3 days ago
Technology Solutions Engineer Co-op/Internship (Winter 2027)
BCI
Victoria, BC · CA Victoria
Full-time
…processes, and platform tools (e.g., Power BI, Databricks, SQL, Python), bridging the gap between raw data systems and the dashboards or insights business stakeholders rely…
Added 3 days ago
Client Performance & Analytics Co-op/Internship (Winter 2027)
BCI
Victoria, BC · CA Victoria
Full-time
Experience with any of Python, SQL, VBA, Bloomberg & Power BI is desirable

RBC

Staff Data Engineer

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 14, 2026
Experience: 7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration, data and cloud architecture, and technologies listed below:
Posting language: English
Posted: Sep 16, 2026

Apply About employer

Applications open in a new tab.

Original job description

Job Description

What is the opportunity?

As Lead Data Engineer in Investor & Treasury Services Data Engineering team within Technology and operations office, you will design, implement, and support enterprise data architecture best practices and processes across the global Investor and Treasury Services organization, aligning with corporate vision. We seek a strategic thinker and passionate data management leader to drive data strategy execution, including Azure Databricks infrastructure management , Power BI optimization, analytics administration, workspace governance, and reporting infrastructure to enable self-service analytics at scale.

As a member of a dynamic, fast-paced team, this role demands strong data architecture and engineering expertise, advanced analytics platform leadership, exceptional communication skills, strong work ethic, and demonstrated ability to multitask effectively in changing environments.

What Will You Do?

This role encompasses end-to-end system oversight from data sourcing, lineage, transformation, and storage through Azure Databricks governance and Power BI analytics optimization to support complex advanced analytics and data governance needs, requiring extensive collaboration with Business Architecture, System Architecture, Business SMEs, and Data Stewards.

Build real-time data pipelines (inbound, outbound) through container-based solutions and Azure Databricks
Integrate data with cloud-based platforms; publish data through APIs and Portal
Manage Azure Databricks clusters, compute resources, and workspace optimization for scalable data processing
Optimize Power BI reporting infrastructure, semantic models, and dashboard performance across the organization
Establish Power BI administration best practices, workspace governance frameworks, and user access management
Manage analytics workspaces, capacity planning, and optimization to support enterprise self-service analytics
Participate in data curation requirements; support data and digital needs of business and technology stakeholders
Evaluate current state of data access control (authentication, authorization, encryption) across I&TS systems; develop and support remediation strategies
Work in agile teams with Data Engineers, Developers, and RBC business stakeholders
Collaborate with data scientists, process engineers, and business stakeholders on requirement gathering; assist with prescriptive and predictive analytics through consolidated data pipelines leveraging Azure Databricks

What you need to succeed

Must Have:

7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration, data and cloud architecture, and technologies listed below:
- Data Engineering: Python, Kafka, MS SQL Server, Elasticsearch stack, Azure Databricks
- Cloud and Containers: Azure (ADLS2, Azure Databricks), OpenShift, Docker
- SQL/Database: Microsoft SQL Server, Azure SQL, Stored procedures
- API: Node.JS, Apigee
- Power BI & Analytics: Power BI (report development, semantic modeling, workspace administration, capacity management), DAX, Power Query
- Security frameworks: LDAP, Kerberos, OAuth 2.0, Vault integration
Strong knowledge of algorithms and data structures
Demonstrated experience with Azure Databricks cluster management, Delta Lake, and Spark optimization

Nice to Have:

Master's degree in Computer Science or equivalent experience
Automation/DevOps: Jenkins, Selenium, and similar technologies
Source code control: GIT
Experience working in agile/SaFe environment
Advanced Power BI certifications (Microsoft Certified: Data Analyst Associate or similar)

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

#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:

RBC CENTRE, 155 WELLINGTON ST W:TORONTO

City:

Toronto

Country:

Canada

Work hours/week:

37.5

Employment Type:

Full time

Platform:

TECHNOLOGY AND OPERATIONS

Job Type:

Regular

Pay Type:

Salaried

Posted Date:

2026-08-24

Application Deadline:

2026-10-14

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

You will design, implement, and support enterprise data architecture and infrastructure using Azure Databricks and Power BI to enable self-service analytics. The role involves managing data pipelines, optimizing reporting performance, and collaborating with stakeholders to drive data strategy execution.

Requirements

Candidates must have 7+ years of experience in data engineering with at least 5 years of hands-on experience in system integration and cloud architecture. Proficiency in Python, Azure Databricks, SQL, and Power BI is required, along with strong knowledge of data structures and security frameworks.

Skills

Azure Databricks
Power BI
Python
Kafka
MS SQL Server
Elasticsearch
OpenShift
Docker
Node.js
Apigee
DAX
Power Query
Data Engineering
Cloud Architecture
System Integration
Data Governance

Benefits

Total Rewards Program
Bonuses
Flexible benefits
Competitive compensation
Stock options
Flexible work/life balance options
World-class training program

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Azure Databricks
Power BI
Cloud Architecture
Python
Kafka
MS SQL Server
Elasticsearch
OpenShift
Docker
Node.js
Apigee
DAX
Power Query
Data Governance
Delta Lake
Spark
Agile
SaFe
Jenkins
Selenium
Git
API
System Integration
Data Pipelines
Analytics
Data Curation
Security Frameworks
Capacity Planning
Financial Services

Report this job