Royal Bank of Canada

Staff Data Engineer

Royal Bank of Canada • $110K — $130K *
Toronto, ON M3C 0E3In-Person
Information Technology
5 - 7 years of experience
Reposted Today
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Job Overview by Ladders

Qualifications

  • Bachelor's degree in a technical field such as Computer Science or Data Engineering
  • 5+ years in ML data engineering or related roles
  • Proficient in Python and SQL with experience in building data pipelines
  • Deep familiarity with tools like Databricks, Snowflake, and Spark
  • Experience with Generative AI workflows and data lifecycle tools
  • Strong knowledge of data governance and security best practices
  • Ability to collaborate effectively across technical and business teams

Responsibilities

  • Architect and maintain data infrastructure for AI/ML and BI workloads
  • Build feature stores and ML-ready data infrastructure for model development
  • Develop and optimize data pipelines for the entire ML lifecycle
  • Implement integrations connecting AI/ML capabilities to production systems
  • Design scalable data pipelines for structured and unstructured data
  • Ensure reliability through monitoring and logging of data processes
  • Advance data quality frameworks for integrity and compliance

Benefits

  • Opportunity to work with large, diverse datasets
  • Access to cutting-edge technologies and innovative solutions
  • Support for professional development through coaching and mentorship
  • Flexible work/life balance options
  • Participation in a dynamic, collaborative, high-performing team
  • Comprehensive Total Rewards Program including flexible benefits and stock options
Full Job Description
Job Description

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

About Royal Bank of Canada

Royal Bank of Canada Careers

Join the dynamic team at Royal Bank of Canada (RBC), a global leader in financial services and a company committed to excellence and innovation. At RBC, we offer a wide range of job opportunities that empower professionals to shape their career paths with leadership, diversity training, and continuous growth.

Work You’ll Do

At Royal Bank of Canada, we are not just hiring; we are building a culture of innovation and leadership. Our team members are at the forefront of the financial industry, driving transformation and delivering targeted solutions that meet the evolving needs of our clients and communities.

Explore Job Opportunities and Employment at RBC

Whether you are starting your career or looking to take it to the next level, RBC offers positions that challenge your skills and fuel your ambition. From entry-level positions to leadership roles, our job opportunities span across various functions and regions. Join us and be part of a team that values professional growth and diversity.

Internship and Professional Development

Kickstart your career with an internship at Royal Bank of Canada. Our internships provide invaluable hands-on experience, networking opportunities, and insights into the financial services industry. Interns at RBC gain the skills necessary to excel and are often considered for full-time positions within the company.

Benefits and Culture

At RBC, we prioritize the well-being and satisfaction of our employees. Our benefits package is designed to support our team members at every stage of their life and career. RBC’s culture is built on a foundation of respect, integrity, and responsibility, fostering an environment where everyone can thrive.

Career Growth and Innovation

We believe in nurturing the potential of our employees through continuous learning and career development programs. At RBC, you will find endless opportunities to grow professionally through on-the-job experiences, formal training programs, and leadership development initiatives. Our commitment to innovation means we are constantly seeking out new ideas and perspectives, making RBC a perfect place for those who aim to lead and innovate.

Diversity and Inclusion

Diversity is our strength. At Royal Bank of Canada, we are committed to building an inclusive workplace where every employee feels valued and respected. Our diversity training programs are designed to educate and inspire, creating a more inclusive and equitable workplace.

Join Our Team

Search open positions that match your skills and interests. We look for passionate, curious, creative, and solution-driven team players. Start your journey with RBC today and be part of a world-class team known for its commitment to client service, community involvement, and innovation.

Stay Connected

Keep up to date with career tips, insider perspectives, and industry-leading insights you can put to use today—all from the people who work here at Royal Bank of Canada.

Job Alert Emails

Personalize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities awaiting you at RBC. Explore the possibilities with Royal Bank of Canada, where your future is filled with potential and the path to success is paved with countless opportunities for professional and personal growth. Join us and shape not just your career but the future of the financial industry.
Learn more about Royal Bank of Canada
Size
86,007 employees
Market Cap
$130.3 billion
Industry
Finance & Insurance
5 Year Trend
+8.7%
NASDAQ
RY
* Ladders Estimates

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