Senior Data Engineer, GFT

Job Description

What is the opportunity? Are you a talented, creative, and results-driven professional who thrives on delivering high-performing applications. Come join us! 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. #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 WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity: TorontoCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: TECHNOLOGY AND OPERATIONSJob Type: RegularPay Type: SalariedPosted Date: 2026-08-05Application Deadline: 2026-08-31Note: 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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