Senior Data Engineer, GFT

RBC • Vancouver, BC

7d • Onsite

About The Position

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT collaborates with partners across the company to deliver innovative and transformative IT solutions for clients in Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking, and Wealth Management. GFT also leads the development of digital tools and platforms to enhance collaboration. The Retail Credit AI & Digital Transformation (ADT) Program aims to improve AI-enhanced underwriting capabilities, driving market-leading client acquisitions and best-in-class client relationships. This program will enable rapid training and operationalization of new ML and AI models with improved deployment and maintenance patterns. The project focuses on advancing NextGen compute and engineering capabilities on public cloud and on-prem infrastructure, establishing data pipelines and feature stores with integrated data quality and governance for high-quality, traceable insights, and parameterizing the ML lifecycle to enhance delivery speed with improved controls, monitoring, and guardrails. The team values a positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure, and well-tested code.

Requirements

• A degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field at the Bachelor's or Master's level.
• Experience in programming, small to large-scale applications with a focus on full-stack development.
• High-level expertise in programming languages such as Python, PySpark.
• Highly proficient in both data and ML frameworks, such as Spark, Pandas etc.
• Experience with Data Engineering/ETL pipelines.
• Expert in DevOps practices and tools for CI/CD pipelines.
• Excellent problem-solving skills and analytical thinking.
• Strong communication and collaboration skills.
• Champion best practices and in constant pursuit of engineering excellence, automation, and best-in-class user experience.
• Experience with Agile development methodologies, including Scrum or Kanban, and the ability to apply these principles to lead the team.
• Ability to drive technical innovation, including researching new technologies, evaluating technical options, and recommending technical solutions.
• Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
• Willingness to learn new technologies and adapt to new challenges.

Nice To Haves

• Familiarity with containerization using Docker and orchestration using Kubernetes.
• Experience with cloud platforms, including Amazon Web Services (AWS) or Microsoft Azure.
• Prior exposure in the Financial Industry, especially supporting top-of-the-house risk analytic functions (such as Market Risk, Credit Risk or Liquidity Risk), in the design and development of the regulatory frameworks.

Responsibilities

• Develop a feature store with integrated data quality and governance to ensure high-quality, traceable ML insights.
• Design and implement pipelines for feature extraction, transformation, and storage using scalable cloud solutions.
• Ensure data consistency, lineage, and metadata management to support regulatory and governance needs.
• Collaborate with data scientists to standardize feature definitions and promote reusability across teams.
• Implement reusable pipelines and MLOps solutions to optimize the lifecycle management of machine learning models and other quantitative algorithms.
• Provide E2E technical competency, including conducting data analysis, data preprocessing, and feature engineering to prepare datasets for model training.
• Work alongside data scientists, quantitative analysts, software engineers, data engineers, and domain experts to collect requirements and design solutions.

Benefits

• 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
• A world-class training program in financial services
• Flexible work/life balance options
• Opportunities to do challenging work, to take on progressively greater accountabilities, to building close relationships with clients
• Access to a variety of job opportunities across business and geographies.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior