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Added 11 mins ago
BMS Engineer Candidate
EXONIX - Global Industrial Company
Engineer, BC
Full-time
We are seeking a skilled BMS Engineer to join our team and play a key role in designing, implementing, and maintaining cutting-edge building management systems for our clients.
Added 11 mins ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
State Street
Toronto, ON
Full-time
Principal Front-Office Trading Integration Engineer / Principal Consultants you will be assessing client needs and utilizing technical expertise to identify solutions which are in alignment…
Added 11 mins ago
Systems Integration Engineer
AtkinsRéalis
Montreal, QC · Quebec, QC
Full-time
We are looking for a Systems Integration Engineer who is passionate about complex multidisciplinary rail projects and enjoys solving problems and finding solutions that meet the needs of…
Added 11 mins ago
Senior Human Factors Engineer
AtkinsRéalis
Mississauga, ON
Full-time
…technology to transform the world's infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 25 mins ago
Director, Mechanical Engineering
Photonic Inc.
Coquitlam, BC
$193,300 to $265,800 CAD / year
Full-time
Strong systems-thinking ability, with experience defining requirements, interfaces, and integration strategies across multi-disciplinary teams.
Added 26 mins ago
Staff Data Engineer
Royal Bank of Canada
Toronto, ON
Full-time
Build and maintain APIs and integrations that expose data to downstream consumers, including AI/ML systems and business workflows
Added 26 mins ago
Software Engineer II (Fullstack), Growth Platform
Scribd, Inc.
Toronto, ON · Vancouver, BC
Full-time
We are seeking a determined Fullstack Software Engineer to join our Growth Platform team. In this role, you will design, build, and scale the shared systems that power Growth at Scribd,…
Added 1 hour ago
SDET with Java
PEOPLE FORCE CONSULTING INC
Quebec, QC
Contract
Strong experience with integration testing across multiple systems and services.
Added 1 hour ago
Delivery Lead
Fastloop
Vancouver, BC
Full-time
You partner with a Technical Lead / AI-Forward Engineer, working as one team: you bring the problem, the outcome, the sequencing, and the adoption; the TL brings the architecture and the…
Added 1 hour ago
Senior Human Factors Engineer
AtkinsRéalis
Mississauga, ON
Full-time
…technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 1 hour ago
Senior Human Factors Engineer
AtkinsRéalis
Mississauga, ON
Full-time
…technology to transform the world's'infrastructure and energy systems. Together, with our industry partners and clients, and our global team of consultants, designers, engineers and project…
Added 1 hour ago
Staff Data Engineer
RBC
Toronto, ON
Full-time
Build and maintain APIs and integrations that expose data to downstream consumers, including AI/ML systems and business workflows
Added 1 hour ago
Business Applications Specialist
Doctors of BC
Vancouver, BC · BC
Full-time
…requirements into scalable technical solutions, with a strong focus on systems integration, interoperability, automation and sustainable solution…
Added 1 hour ago
Senior Programmer Analyst (24 Month Contract)
Doctors of BC
Vancouver, BC · BC
Full-time
Collaborate with the Technical Solutions Engineer and Business Applications Specialist on application, integration and modernization designs.
Added 1 hour ago
Senior Machine Learning Engineer
Takeaway
Edmonton, AB
Full-time
As a Senior ML Engineer you will take a leadership role in shaping the strategic direction of our machine learning infrastructure, proactively identifying opportunities for innovation and…
Added 1 hour ago
Automation Business Consultant (RPA+AI Projects)
Greenlight Consulting
Toronto, ON · Greater Toronto Area, Canada
$100,000 to $130,000 CAD / year
Full-time
…scalability considerations confirmed and finalized with the engineer before build begins - without letting documentation block…
Added 1 hour ago
Senior Human Factors Engineer / Ergonomics Specialist
LGM North America
Toronto, ON
Full-time
To support our strong growth, we are looking for an experienced Senior Human Factors Engineer / Ergonomics Specialist to support the design, assessment, and validation of complex…
Added 1 hour ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon Web Services (AWS)
Pointe-Claire, QC
Full-time
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 1 hour ago
Ingénieur régional en colo électrique Sénior (Elec Colo Regional Engineer), Colocation Region Engineering- AMER
Amazon Web Services (AWS)
Pointe-Claire, QC
Full-time
Are you an engineer with a passion for data center design and looking for a challenge to chart your own course? If so, we are looking for you to help us make history.
Added 1 hour ago
Senior Data Engineer
Quandri
Vancouver, BC
…time. We pair a deep understanding of insurance processes, systems, and data with serious technical capability and proprietary models, so the transformation is tangible and operational…
Added 2 hours ago
Senior Instrumentation and Controls Specialist
Jacobs
Toronto, ON
$125,000 to $175,000 USD / year
Full-time
We are seeking a Senior Instrumentation & Controls Engineer to join our Electrical, Instrumentation & Controls team in Toronto. In this role, you will lead the development and delivery of…
Added 2 hours ago
Senior Data Engineer
Quandri
Vancouver, BC · Greater Vancouver Metropolitan Area
Full-time
…time. We pair a deep understanding of insurance processes, systems, and data with serious technical capability and proprietary models, so the transformation is tangible and operational…
Added 2 hours ago
Senior AI Engineer
Workday
Vancouver, BC · Canada, BC, Vancouver
Full-time
As a Senior AI Engineer in Agent Factory, you will drive the end-to-end system design, implementation, and product integration for a core domain of Workday’s next generation of intelligent…
Added 3 hours ago
Principal Front-Office Trading Integration Engineer - Vice President - Java, Talend, Kafka, ETL - Charles River Development -
Charles River Development
Toronto, ON
Full-time
Principal Front-Office Trading Integration Engineer / Principal Consultants you will be assessing client needs and utilizing technical expertise to identify solutions which are in alignment…
Added 3 hours ago
Modelling & Simulation Engineer - NETE
Weir
Dartmouth, NS
Full-time
Conduct Modelling and Simulation (M&S), Independent Verification & Validation (IV&V) and Integration activities for the River Class Destroyer (RCD) project. Weir Marine Engineering supports…

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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