Senior Data Engineer, GFT

RBC; Toronto; On-site; CAD 110,000 - 150,000; Full time

Benefits offered by this job

Bonuses

Stock options

Flexible benefits

Career development

Job summary

RBC is seeking a talented professional to join Global Functions Technology in Toronto. You will help design and deploy ML-enabled data platforms, focusing on feature stores, data quality, and scalable pipelines in hybrid cloud environments.

The role requires 4+ years in full-stack development, strong Python/PySpark skills, and experience with ML workflows, data governance, and Agile team leadership. A competitive compensation package awaits in a dynamic tech and finance setting.

Qualifications

• Bachelor's or Master's in Computer Science, Engineering, Mathematics, Statistics or a related field.
• 4+ years programming experience across full-stack development and large-scale apps.
• Strong Python and PySpark, with experience in ML/AI frameworks (Spark, Pandas) and ETL pipelines.
• Expertise in DevOps and CI/CD practices.
• Excellent problem-solving, analytical thinking, and collaboration skills.
• Experience with Agile methodologies (Scrum/Kanban) and leading teams.
• Ability to drive technical innovation and evaluate new technologies.

Responsibilities

• Develop a feature store with data quality and governance for ML insights.
• Build data pipelines for feature extraction, transformation, and storage on cloud platforms.
• Ensure data lineage and metadata management for governance and compliance.
• Collaborate with data scientists to standardize feature definitions and promote reuse.
• Create reusable pipelines and MLOps solutions to optimize ML lifecycle management.
• Perform data analysis, preprocessing, and feature engineering for model training.
• Work with cross-functional teams to collect requirements and design solutions.

Skills

Python

PySpark

Spark

Pandas

Data Engineering

ETL pipelines

CI/CD

Agile/Scrum

Team collaboration

Cloud computing

Education

Bachelor's degree in CS/Engineering/Math/Statistics

Tools

Docker

Kubernetes

AWS

Azure

Job description

Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us!

Job Description

Global Functions Technology (GFT) is part of RBC’s Technology and Operations division. GFT’s impact is far-reaching as we collaborate with partners from across the company to deliver innovative and transformative IT solutions. Our clients represent Risk, Finance, HR, CAO, Audit, Legal, Compliance, Financial Crime, Capital Markets, Personal and Commercial Banking and Wealth Management. We also lead 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 will drive market-leading client acquisitions and best-in-class depth of client relationships. This program will enable us to train and operationalize new ML and AI models rapidly with improved deployment and maintenance patterns. This 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.

We value positive attitude, willingness to learn, open communication, teamwork, and commitment to clean, secure and well-tested code.

What will you do?

• 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 machine learning models and other quantitative algorithms life cycle management.
• 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.

What do you need to succeed?

Must Have

• A degree in Computer Science, Engineering, Mathematics, Statistics, or a closely related field at the Bachelor's or Master's level.
• 4+ years of experience in programming, small to large-scale applications with 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 Have

• 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.

What’s in it for you?

• 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.

Job Skills

Big Data Management, Cloud Computing, Database Development, Data Mining, Data Warehousing (DW), ETL Processing, Group Problem Solving, Quality Management, Requirements Analysis, and Requirements Analysis

Additional Job Details

Address: RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTO

City: Toronto

Country: Canada

Work hours/week: 37.5

Employment Type: Full time

Platform: TECHNOLOGY AND OPERATIONS

Job Type: Regular

Pay Type: Salaried

Posted Date: 2026-08-05

Application Deadline: 2026-08-31

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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