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Added 31 mins ago
Senior Full Stack Developer
LIV-Machobear
Vancouver, BC
$120,000 to $150,000 CAD / year
Full-time
We are currently on the lookout for a skilled senior Full Stack Developer who brings a strong technical background with a focus on front-end development, and a passion for building…
Added 31 mins ago
Design Coordinator
HDR
Kingston, ON
Full-time
…them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design…
Added 31 mins ago
Civic Principal
HDR
Vancouver, BC
Full-time
…them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design…
Added 31 mins ago
Technical Safety Specialist
Hitachi
Burnaby, BC · Toronto, ON · (RSBU) Burnaby
Full-time
The Technical Safety Specialist provides technical safety leadership to the safety team, is responsible for enforcing the safety strategy, developing and continuously improving safety…
Added 46 mins ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 1 hour ago
Senior Platform Engineer, Vice President
State Street
Toronto, ON
Full-time
Architect cloud & hybrid infrastructure across various cloud providers and on-premises locations with multi-region HA & DR capabilities
Added 1 hour ago
Design Coordinator
HDR
Kingston, ON
Full-time
…them. We bring together architects, planners, designers, and technical experts to solve complex design challenges with creativity, curiosity, and collaboration. From championing design…
Added 1 hour ago
Senior Enterprise Architect - Smart Cities & Emerging Technologies
TEKsystems
Calgary, AB
$100 to $115 CAD / hour
Contract
This is not a traditional Enterprise Architect role focused primarily on application portfolios, infrastructure architecture, governance reviews, or solution delivery.
Added 1 hour ago
Enterprise Architect, Software and Platforms Architecture (T & I) (Telework/Hybrid)
CBC/Radio-Canada
Montreal, QC
Full-time
We are looking for highly skilled and organized Enterprise Architect with deep subject matter expertise in Enterprise Software and Platform Architecture for our downtown Toronto, Ottawa or…
Added 1 hour ago
Staff Software Engineer, User Targeting
Braze
Toronto, ON
Full-time
We’re looking for a Staff Software Engineer to join the User Targeting team as a hands-on technical leader. The team is responsible for how our customers segment and target their users.…
Added 1 hour ago
Cloud DevOps Specialist
Accenture
Ottawa, ON · Montreal, QC
Full-time
…discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a subject matter…
Added 1 hour ago
Cloud Enterprise Architect
Accenture
Ottawa, ON · Montreal, QC
Full-time
A hands-on data consulting leader, a Solutions Architect who knows how to develop, design, and maintain Hybrid cloud-based data platforms on AWS, Azure or Google Cloud. You will own the…
Added 1 hour ago
Data Solutions Specialist
Accenture
Ottawa, ON · Montreal, QC
Full-time
…discipline as the rest of the platform, and with the Lead Enterprise Architect on data modelling and ontology for the priority domain. In this role, you are expected to be a subject matter…
Added 1 hour ago
Senior Network Security Engineer (CCNP Security Needed)
RSM US LLP
Toronto, ON
Full-time
…and security implementations. You will serve as a hands-on technical leader and trusted advisor, designing and deploying advanced network infrastructure…
Added 1 hour ago
Cloud Developer
Forgeahead
Surrey, BC
Full-time
Evaluating and analyzing clients’ technical requirements and business needs.
Added 1 hour ago
Deals Real Assets, Data Engineering & Digital Solutions, Senior Associate
PwC
Calgary, AB · Vancouver, BC · Toronto, ON
Full-time
…projects and programs. As part of our team, you'll leverage your technical expertise in data engineering and software development to build the digital tools, platforms, and data solutions…
Added 1 hour ago
Performance Engineering Lead
TD
Toronto, ON
Full-time
…Engineering space. Whether you are an Engineer, SDET or PE Architect, Developer, Tester, Lead, Manager everyone runs on the same set of basic principles in an effort to remain the best ever…
Added 1 hour ago
Product Technical Lead
LCBO
Toronto, ON
Full-time
Architect scalable technical solutions that meet defined business requirements and enhance operational efficiency across SAP Finance and Controlling (FICO), Concur, SAP Customer Activity…
Added 2 hours ago
Sharepoint Architect
Zodiac Solutions, Inc
Toronto, ON
Full-time
The SharePoint Architect will design and govern secure, scalable SharePoint and Microsoft 365 solutions. The role translates business, security, compliance, integration, and migration needs…
Added 2 hours ago
Landscape Architecture - Contract Administrator
Stantec
Toronto, ON
Full-time
We are seeking an experienced and motivated Landscape Architect that will focus on Construction Administration to join our Landscape Architecture practice in Toronto. This individual will…
Added 2 hours ago
Azure Applications Architect
Mohawk Medbuy Corporation
Toronto, ON · Greater Toronto Area, Canada
Full-time
We are currently recruiting for an Azure Applications Architect to support our IT team. This is a hybrid model, requiring three days in office and two days remote. This role can be located…
Added 2 hours ago
Android Software Developer – Infotainment OnStar
General Motors
Markham, ON
Full-time
…the automotive industry. You will design, implement, test and architect GM’s Infotainment software solutions for functionality deployed across our vehicle portfolio and vehicle ecosystem.…
Added 2 hours ago
Senior Software Developer, ML Platform & Infrastructure
Wealthsimple Technologies
Toronto, ON
$152,000 to $189,000 CAD / year
Full-time
…automated Evals). You will take end-to-end ownership of setting the technical direction for operating enterprise-grade LLM systems…
Added 3 hours ago
Digital Architect
Long View Systems
Vancouver, BC
We are seeking a dynamic and results-oriented Digital Architect to join our BC branch in downtown Vancouver. As a trusted advisor to our clients, you will lead strategic technology…
Added 3 hours ago
Senior Systems & Cloud Engineer
Alquemy Search & Consulting
Saskatoon, SK
Contract
This is a hybrid role that balances architectural design with direct technical execution. You will work side-by-side with our Senior Network Engineer to build, secure, and operate 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.

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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.

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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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