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Added 1 hour ago
System Protection Engineer III
TRC Companies, Inc.
Calgary, AB
Full-time
To meet growing demand, the System Protection & Automation Engineering group within the Power Sector at TRC is seeking a Senior System Protection Engineer (Engineer III) to work closely…
Added 3 hours ago
Security Engineer (17-Month Contract)
Spectrum Equity
Toronto, ON
Contract
Varicent is looking for a hands-on Security Engineer to join our Information Security team on a 17-month contract and help strengthen the security of our systems, applications, and cloud…
Added 4 hours ago
Site Reliability Engineering I
Loblaw Companies Limited
Brampton, ON
Full-time
The Site Reliability Engineer I will run the production environment by monitoring availability and taking a holistic view of system health. You will build tools and systems to manage…
Added 5 hours ago
Software Developer
Actalent
Ottawa, ON
$50 to $70 CAD / hour
Contract
Develop scalable APIs, event-driven services, and automation frameworks that integrate with network infrastructure, orchestration platforms, and operational systems.
Added 6 hours ago
Manager, Maintenance Operations
York University
Toronto, ON
Full-time
Knowledge of building automation systems, life safety systems, and other integrated building systems and their operation, monitoring, and control within building environments.
Added 6 hours ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Implement monitoring, logging, and observability for data pipelines to ensure reliability, performance, and compliance
Added 6 hours ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
Implement monitoring, logging, and observability for data pipelines to ensure reliability, performance, and compliance
Added 10 hours ago
Senior Cloud Azure Architect
TECONICA SOFTWARES
Toronto, ON
Contract
The ideal candidate will have strong expertise across the Microsoft Azure ecosystem, Infrastructure as Code, CI/CD, cloud automation, and platform engineering. The engineer will be…
Added 10 hours ago
Senior Manager, I&IT Site Reliability Engineering & Operations
Metrolinx
Toronto, ON
Full-time
Govern Cloud & Infrastructure Reliability: Define production readiness criteria and operational acceptance guardrails for new or materially changed services, ensuring architecture,…
Added 10 hours ago
Senior Cloud Platform Engineer (AWS), AI Infrastructure - Evinova
AstraZeneca
Mississauga, ON · Canada - Mississauga
Full-time
As a Senior Cloud Platform Engineer on the ML/AI Ops team, you will design, build and operate the AWS platform that runs our production Generative AI, agentic AI and conversational AI…
Added 11 hours ago
DevOps, Kubernetes, and Site Reliability Engineer
Axelon Services Corporation
Montreal, QC
$65.52 USD / hour
Other
Design, build, maintain, and enhance CI/CD pipelines and supporting build, test, release, and deployment infrastructure.
Added 11 hours ago
Database Engineer
THE CANADIAN REAL ESTATE ASSOCIATION
Ottawa, ON
$110,000 to $135,000 CAD / year
Full-time
…environment, while working closely with software engineering, infrastructure, security, product, and other teams across the organization. The role includes database development and…
Added 12 hours ago
Satellite Operations Engineer (GEO)
Telesat
Ottawa, ON
Full-time
The Satellite Operations Engineer (GEO) will support all engineering aspects related to ensuring effective in-orbit operations of all on-board subsystems on the assigned GEO satellite bus…
Added 12 hours ago
Mine Structural Infrastructure Engineer
Hatch
Sudbury, ON
We are seeking an experienced and highly motivated Structural Engineer with specialist expertise in the design and execution of surface and underground mining infrastructure projects…
Added 13 hours ago
AI Engineer
Stripe
Toronto, ON
Full-time
…users we serve. You'll operate as an embedded, high-context engineer focused on the highest-leverage opportunities across the SA org - building production-quality tooling, supporting our…
Added 13 hours ago
JAMS Platform Engineer
J&M Group
Toronto, ON
Contract
Drive automation, proactive monitoring, automated recovery, event-driven scheduling, batch modernization, upgrades, DR, regression testing, and production readiness.
Added 13 hours ago
System Protection Engineer III
TRC Companies, Inc.
Calgary, AB
Full-time
To meet growing demand, the System Protection & Automation Engineering group within the Power Sector at TRC is seeking a Senior System Protection Engineer (Engineer III) to work closely…
Added 13 hours ago
Sr. GCP/ Java Developer
NTT DATA North America
Toronto, ON
Other
…expected to proactively identify operational risks, optimize cloud infrastructure, and ensure production readiness through high availability, disaster recovery, and…
Added 14 hours ago
DevOps Engineer - EA SPORTS™ TECHNOLOGY
Electronic Arts
Vancouver, BC
The EA SPORTS™ Technical Team is seeking an experienced DevOps Engineer to join the organization. This role is ideal for someone with a strong passion for technology and deep experience…
Added 14 hours ago
Advanced DevOps Games Software Engineer - American Football
Electronic Arts
Victoria, BC
Reporting to a Software Engineering Manager, as an Advanced DevOps & Automation Engineer, you will be responsible for designing, implementing, and maintaining scalable systems and tools…
Added 14 hours ago
Anti-Cheat Operations Engineer
Electronic Arts
Vancouver, BC
As an Anti-Cheat Operations Engineer I, your primary job will involve monitoring the environment of our games using our internal anti-cheat solution. Your work will help ensure fair and fun…
Added 14 hours ago
Site Reliability Engineer III
Electronic Arts
AB · Toronto, ON · Victoria, BC · Vancouver, BC · Edmonton, Alberta
As a Site Reliability Engineer, your role covers the entire lifecycle of a product-- from helping developers with architecture and delivery to on-call incident response and triage. Your…
Added 14 hours ago
Site Reliability Engineer
Electronic Arts
Vancouver, BC
Infrastructure Automation & IaC: You will architect, automate, and maintain cloud infrastructure on AWS using Infrastructure as Code
Added 14 hours ago
Software Engineer - Devops Automation, Perforce
Electronic Arts
Vancouver, BC
We are looking for a DevOps engineer with strong Linux experience who enjoys eliminating manual work. If you like turning scripts and repetitive procedures into reliable automation,…
Added 14 hours ago
Senior DevOps Engineer - PA145
ZoomInfo Technologies LLC
Toronto, ON
Drive initiatives to implement and enforce best practices for data streaming, processing, analytics and monitoring infrastructure.

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

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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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