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Added 2 hours ago
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Patient Experience iCare Exchange Integrations Engineer
Sanofi
Toronto, ON
- Full-time
As a Patient Experience iCare Insights/Exchange Integrations Engineer at Sanofi, you will play a pivotal role in transforming patient data into actionable insights that drive better health…
Added 3 hours ago
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R&D Engineer- Data Scientist
Tenova
Mississauga, ON
- Full-time
The R&D Engineer - Data Science, under the direction of the R&D Manager, is responsible for analyzing operational and test data, developing algorithms, and researching, building,…
Added 4 hours ago
CI
Lead Engineer, Active Equities, Public Markets Technology
CPP Investments | Investissements RPC
Toronto, ON
- Full-time
As Lead Software Engineer, Active Equities Technology, you will provide technical leadership in designing, developing, deploying, and supporting technology solutions that enable the Active…
Added 4 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 4 hours ago
SM
AI Engineer
S M Software Solutions Inc
Mississauga, ON
- Full-time
We are seeking a position of AI Engineer role for Citi based in Mississauga, ON, Canada. The role focuses on designing, building, and deploying Python-based AI/LLM applications and scalable…
Added 4 hours ago
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Senior Director, Program Delivery
RBC
Toronto, ON
- Full-time
Added 4 hours ago
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Senior AI/ML Engineer
RBC
Toronto, ON
- Full-time
Big Data Management, Data Mining, Data Science, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages
Added 4 hours ago
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Lead Full Stack Developer
RBC
Toronto, ON
- Full-time
This Engineer is an expert professional with deep expertise or unique industry knowledge who uses in depth skill sets to contribute to development of company objectives and principles and…
Added 4 hours ago
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Lead Financial Engineer, Software
RBC
Toronto, ON
- Full-time
We are seeking a Lead Financial Engineer to bridge the gap between our investment strategy business units and our software engineering teams. In this role, you will translate complex…
Added 4 hours ago
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AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As an AI Engineer in Agent Factory, you’ll design and build the core ML systems behind Workday’s next generation of AI agents. Working within a small, senior, cross-functional pod, you’ll…
Added 5 hours ago
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Naval Project Quality Assurance Engineer - NETE
Weir
Dartmouth, NS
- Full-time
…The Model Based Systems Engineering (MBSE) Quality Assurance Engineer will conduct QA activities across the MBSE enterprise in support of the RCD…
Added 6 hours ago
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Principal Software Engineer
Microsoft
Vancouver, BC
- Full-time
As a Principal Software Engineer, you will provide technical leadership for enabling and optimizing frontier-scale AI models on Microsoft AI accelerators. You will work across hardware…
Added 7 hours ago
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Data Engineer
Wiraa
Canada
- Full-time
We are currently seeking a talented and dedicated Data Engineer to join our Information Technology Department at our Leamington office. This is a full-time, permanent position that plays a…
Added 8 hours ago
TS
IT Business Systems Engineer - Collaboration Tools & Analytics /Spécialiste des systèmes d'affaires TI - Outils de collaboration et analytique
TD SYNNEX North America
Mississauga, ON
- $70,000 to $85,000 CAD / year
- Full-time
Added 9 hours ago
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Quality Engineer II
TD
Toronto, ON
- Full-time
Added 9 hours ago
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Data Platform Engineering Manager
TD
Toronto, ON
- Full-time
…serves as the foundation for technology governance, reporting, analytics, metrics, and decision-making. Reporting to the Head of Technology Data Management, this role leads the onboarding,…
Added 9 hours ago
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Data Architect, Technology Data Management
TD
Toronto, ON
- Full-time
…systems of record, data products, reporting platforms, and analytics solutions. This position plays a critical role in enabling enterprise governance, operational management, risk…
Added 9 hours ago
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.NET/C# Engineer, TD Securities
TD
Toronto, ON
- Full-time
We are looking for a Senior Engineer to join the Securitization Technology team and embrace a broad range of tasks associated with developing application and systems solutions to address…
Added 9 hours ago
RB
Lead Financial Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
We are seeking a Lead Financial Engineer to bridge the gap between our investment strategy business units and our software engineering teams. In this role, you will translate complex…
Added 10 hours ago
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Senior Full Stack Software Engineer - Capital Markets
Manulife
Toronto, ON
- Full-time
We're seeking a Senior Full-Stack Engineer with strong software engineering expertise and experience in derivatives trading systems. In this role, you'll design, develop, and support…
Added 10 hours ago
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Agentic Engineer, Innovation
Manulife
Montreal, QC
- Full-time
The Agentic Engineer, Innovation will design, build, and scale agentic AI solutions for Canada AI, helping translate high-value innovation opportunities into secure, reusable, and…
Added 10 hours ago
GM
2027 Winter Co-op Data Engineering Software Developer
General Motors
Markham, ON · Oshawa, ON
- Full-time
…We are seeking a highly motivated and detail-oriented Co-Op Engineer to join our team. In this role, you will contribute to the development of software pipelines that configure the behavior…
Added 10 hours ago
Software Development Engineer, Alexa Connections
Amazon
Vancouver, BC
…our dynamic Alexa Connections team as a Software Development Engineer, and lead futuristic initiatives that will shape the next generation of intelligent, conversational experiences. In…
Added 10 hours ago
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Senior Cloud Infrastructure Engineer
Mecka
Remote, Canada
- $165,000 to $200,000 CAD / year
- Full-time
- Remote
…builds and runs. We're hiring a Senior Cloud Infrastructure Engineer to help design, scale, and harden Mecka's AWS environment, with a focus on the networking and storage behind global data…
Added 12 hours ago
LI
Senior Data Engineer
Livingston International
Toronto, ON · Etobicoke, ON
- Full-time
…and optimize that movement. We're looking for a Senior Data Engineer to design, build, and scale the data infrastructure that powers logistics operations, transportation analytics,…

Royal Bank of Canada

Staff Data Engineer

Toronto, ON, M9W 0A4, 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.

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More about this job

Responsibilities

Architect and maintain scalable data pipelines and analytical environments to support BI, analytics, and AI/ML workloads. Ensure data integrity through robust quality frameworks, metadata management, and automated testing across development and production environments.

Requirements

Requires a bachelor's degree in a technical field and at least 5 years of professional experience in data engineering. Candidates must possess strong programming skills in Python and SQL, along with deep expertise in modern cloud-native data platforms.

Skills

Python
SQL
Data Engineering
Databricks
Snowflake
Spark
AWS
Azure
GCP
Data Modeling
DevOps
DataOps
CI/CD
Data Governance
Data Quality
Machine Learning

Benefits

Bonuses
Flexible benefits
Competitive compensation
Stock
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
DevOps
DataOps
CI/CD
GitHub
Data Governance
Data Quality
Generative AI
RAG
Vector Databases
Kafka
Terraform
Unity Catalog
Collibra
Wealth Management
Machine Learning
API Development
Data Modeling
Cloud Computing
Infrastructure-as-code

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