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Added 1 day ago
CC
Senior Salesforce Engineer
Canadian Cancer Society
Toronto, ON · Ottawa, ON · Montreal, QC · Quebec, QC · Prince George, BC · Vancouver, BC · Kelowna, BC · Halifax, NS · Calgary, AB
- Full-time
We are seeking a hands-on Salesforce Platform and AI Engineer to design, build, and scale secure, data-driven solutions that advance CCS’s mission. This role combines Salesforce…
Added 1 day ago
TC
Junior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco…
Added 1 day ago
TH
Senior Integration Developer -C Business Intel
Trillium Health Partners
Mississauga, ON
- Full-time
…outcomes and support system-wide decision-making. Through strong governance and partnership, we ensure strategy is translated into action and impact. Building upon a number of key…
Added 1 day ago
I
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 2 days ago
I
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 2 days ago
I
Staff Software Engineer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 2 days ago
RB
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Strong experience with data governance, data quality, and data security best practices
Added 2 days ago
R
Staff Data Engineer
RBC
Toronto, ON
- Full-time
Strong experience with data governance, data quality, and data security best practices
Added 2 days ago
TR
Staff Software Engineer – AI
Thomson Reuters
Toronto, ON
- Full-time
As a Staff Software Engineer – AI on the Confirmation Product Engineering team, you will be a hands-on technical leader building and delivering production platform and AI capabilities. This…
Added 2 days ago
SE
Senior Systems Administrator
S&C Electric Company
Toronto, ON · Etobicoke, ON
- Full-time
…access lifecycle processes, privileged access controls, identity governance, and hybrid identity services across Microsoft Entra ID, Active Directory, Microsoft 365, cloud services, and…
Added 3 days ago
O
Staff Software Engineer
Okta
Toronto, ON
- $160,000 to $220,000 CAD / year
- Full-time
As a Staff Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture…
Added 3 days ago
Staff Software Engineer
Okta
Toronto, ON
As a Staff Engineer on the OIG team, you will be involved into development, design, and maintenance of our product to serve enterprise customers at scale. You will involve the architecture…
Added 4 days ago
Lead Harness Engineer
Government of Alberta
AB
Within Digital Design and Delivery, the Software Delivery Branch provides architectural leadership, CloudOps, DevOps practices, AI engineering, and software delivery excellence across…
Added 4 days ago
EB
Staff Engineer, AI Security
EQ Bank | Canada's Challenger Bank
Toronto, ON
- Full-time
Work as a collaborative security partner across Cyber, Architecture, Data, Engineering, AI Engineering, and business teams to enable secure delivery with minimal unnecessary friction.
Added 5 days ago
I
Staff Software Developer (Pre-ID Relo)
Intuit
Toronto, ON
- Full-time
We are hiring a Staff Software Engineer to set technical direction across multiple engineering teams in the HCM charter. This is a charter-wide role. You will not be measured by the…
Added 5 days ago
RD
Staff Software Engineer, Identity & Access - AI Platform
Redpanda Data
Canada
- Full-time
We're looking for a Staff Software Engineer to own that direction end to end - AuthN, AuthZ, and OBO for agents - as a charter that spans both Agentic Data Plane and the Cloud platform it…
Added 5 days ago
RC
Data Architect
Rules Cube
Toronto, ON
- Full-time
…and front-office operations so patients get care faster and staff spend less time on manual work. MediCore is growing across North and Latin America, and we're building out the team behind…
Added 5 days ago
Staff Software Engineer
Atlas HXM
Canada
We’re looking for a Staff Software Engineer (Product) to help shape the technical evolution of our product. This is a senior individual contributor role focused on building high-quality…
Added 8 days ago
TC
Team Lead, AI Engineering
The Citco Group Limited
Halifax, NS
- Full-time
Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco…
Added 8 days ago
TC
Senior AI Engineer
The Citco Group Limited
Halifax, NS
- Full-time
Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco…
Added 8 days ago
RJ
Lead Engineer
Raymond James
Vancouver, BC
- Full-time
The Lead Engineer is the senior technical engineering lead within Digital Workplace & Platform, responsible for improving the stability, resilience, automation, control effectiveness, and…
Added 8 days ago
B
Senior Staff Data Platform Engineer
Benevity
Remote, Canada
- $137,800 to $178,080 CAD / year
- Full-time
- Remote
Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to…
Added 8 days ago
B
Senior Staff Data Platform Engineer
Benevity
Remote, Canada
- Full-time
- Remote
Benevity is seeking a talented Senior Staff Data Platform Engineer, who has an extensive record of hands-on data engineering and data product development experience. This role, reporting to…
Added 10 days ago
UR
Staff Software Engineer / Architect - AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
- Full-time
The ideal candidate is a highly hands-on AI engineer who can move comfortably between customer discovery, technical architecture, software development, and production delivery. You will…
Added 10 days ago
UR
Principal Software Engineer / Architect – AI, CoCounsel FDE
Urban Ridge Supplies
Toronto, ON
- Full-time
Provide technical direction across complex AI, software architecture, integration, security, and deployment decisions.

RBC

Staff Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

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

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.

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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

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