Data and AI Engineer

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

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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

RBC CENTRE, 155 WELLINGTON ST W:TORONTOTorontoCanada37.5Full timeCAPITAL MARKETSRegularSalaried2026-02-272026-03-31

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.

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.