What is the opportunity?Join RBC Wealth Management Data & AI as we build a global data foundation and deliver innovative AI capabilities across our worldwide businesses. As a Data Engineer, you will play a key role in upgrading our infrastructure, developing next‐generation data solutions, and contributing to the creation of AI agents and the Model Context Protocol (MCP). This is an exciting opportunity to work on impactful projects that drive the future of data and AI at RBC Wealth Management.Job DescriptionJoin RBC Wealth Management Data & AI as we build a global data foundation and deliver cutting-edge AI capabilities across our worldwide businesses. As a Data Engineer, you will play a key role in upgrading our infrastructure, developing next‐generation data solutions, and contributing to the creation of AI agents and the Model Context Protocol (MCP). This is an exciting opportunity to work on impactful projects that drive the future of data and AI at RBC Wealth Management.What will you do?You will be working closely with other data engineers and data scientists to support data ingestion and reporting analytics, establishing industry best practices, maintaining and managing technical documentationsBuild data products using structured and unstructured data. Ensure data quality, performance, scalabilitySupport Gen AI platform engineering, Prompt Engineering, including designing and refining prompts to optimize LLM outputs, implementing Gen AI systems into productionContribute to production efforts via data pipelines, reusable frameworks, distributed computingContribute to documentation, governance, and performance improvements in data management practicesBuild and implement ETL frameworks to improve code quality and reliability.What do you need to succeed?Must HaveDegree in Computer Science or Engineering related technical field2+ years of industry experience in Data Engineering. Knowledge of data engineering industry best practices: schema management, data quality, data governance, Cloud management, Databases, Data Warehousing, ETL pipelines,



and data streamingProgramming experience in Python for scripting and data processingExperience with REST API development, designing and developing robust scalable API, microservices, and data pipelines in productionStrong Knowledge of SQL and NoSQL solutions, including data modeling and optimization.Defining and building scalable ETL/ELT workflows for reporting and analytics.Developing scripts and programs for converting various types of data into usable formats.Excellent collaboration skills and proven ability to adapt to challenges, coaching and mentoring.Strong communication and analytical skills, including conceptual, requirements interpretation, solution creation and problem-solving abilities.Nice to HaveBasic understanding of AI/ML workflows (e.G., data preparation, model input/output)Experience using AWS Sagemaker, S3, Snowflake, Airflow, HadoopFamiliar with JIRA, Confluence, Agile/Scrum development methodologyHave past experience with at least one of the Object-Oriented development languages (C++, C# .NET, Java) is a plusAbility to read and write in the French language is a plusWhat'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 applicableLeaders who support your development through coaching and managing opportunitiesAbility to make a difference and lasting impactWork in a dynamic, collaborative, progressive, and high‐performing teamA world‐class training program in financial servicesFlexible work/life balance optionsOpportunities to do challenging workCompensation for this position (including salary and discretionary/variable payments) will be determined by factors, including but not limited to candidate's experience, skills, registration status, performance, individual goals, market conditions, and business needs.Pay RangeThe expected pay range for this position is:$80,000- $130,000API Development, Big Data Management, Cloud Computing, Database Development, Data Engineering, Data ETL, Data Mining, Data Warehousing (DW), Group Problem Solving, Python (Programming Language), Quality Management, Requirements Analysis, REST API Development, RESTful APIs, Snowflake (Platform), Tableau (Software), Tableau ServerAdditional Job DetailsAddress: 180 WELLINGTON ST W:TORONTOCity: TorontoCountry: CanadaWork hours/week: 37.5Employment Type: Full timePlatform: WEALTH MANAGEMENTJob Type: RegularPay Type: SalariedPosted Date: 2026-07-31Application Deadline: 2026-08-15Applications will be accepted until 11:59 PM on the day prior to the application deadline date aboveOur Employment OpportunitiesAt 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. #J-18808-Ljbffr

📌 Senior Data Engineer (Toronto)
🏢 RBC
📍 Toronto