Data and AI Engineer at Royal Bank of Canada

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

30 May, 26

Salary

0.0

Posted On

01 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, PySpark, Algorithms, Data Structures, Distributed Computing, Data Pipelines, ML Pipelines, Feature Engineering, Model Development, Deployment, Database Systems, Debugging, Profiling, Optimization, CI/CD

Industry

Financial Services

Description

Job Description What is the opportunity? Capital Markets Quantitative & Technology Services - Data AI and Research Technology (DART) team is looking to hire a Data & AI Engineer to build, manage and deploy cutting edge Data and AI solutions for Investment Research, Banking, Sales and Trading. What will you do? Build data products using structured and unstructured data from traditional and alternative sources to deliver actionable signals and insights for Investment Research, Banking and Global Markets. Provide subject matter expertise in distributed and parallel computing. Analyze ML and data processing workloads to identity latency contributors, inefficient compute utilization and provide remediation recommendations. Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable frameworks What do you need to succeed? Must-Have Strong development skill in Python, SQL, PySpark (5+ years) Degree in Computer Science or Engineering In depth knowledge of Algorithms and Data Structures and distributed computing. Experience building end to end Data & ML pipelines covering data ingestion, transformation, feature engineering, model development and tuning, evaluation, deployment and inference. (3+ years) Solid understanding of database systems and working with both structured and unstructured data. (5+ years) Excellent debugging, profiling, and optimization skills in high-throughput environments (5+ years) Proficiency in CI/CD principles, version control and best practices for deploying large scale workloads to production. (5+ years) Experience with Azure Databricks, Kubernetes (2+ years) 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 Member of the front-end chapter, which provides training, events, and other opportunities for learning. You will also have an opportunity to share your work and experience with your peers Leaders who support your development through coaching and managing opportunities Work in a dynamic, collaborative, progressive, and high-performing team A world-class training program in financial services Flexible work/life balance options #LI-POST #TECHPJ Job Skills Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis 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: CAPITAL MARKETS Job Type: Regular Pay Type: Salaried Posted Date: 2026-02-27 Application Deadline: 2026-03-31 Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above Inclusion and Equal Opportunity Employment At 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. 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.

Responsibilities

The role involves building data products using structured and unstructured data to deliver actionable signals and insights for Investment Research, Banking, and Global Markets. Responsibilities also include analyzing ML and data processing workloads to identify latency contributors and contributing to automation efforts via CI/CD pipelines.