Senior Data Engineer - GFT at RBC Global Asset Management

Toronto, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

0.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Apache Spark, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Pipelines, Data Warehousing, ETL Processing, Object-Oriented Programming, Payments Domain, Python, Quality Management, Requirements Analysis, Snowflake, SQL Database Queries

Industry

Description

Job Description What is the opportunity? 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. We are looking for a skilled Data Engineer to join our Toronto Fraud and AML IT team. work on the development and deployment of data pipeline, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The candidate will have a strong background in data engineering, software development and leadership, with a proven track record of delivering high-quality solutions that meet business needs. The person will collaborate closely with team members under Agile Squad including product owners, architects, business analysts and quality engineers. The candidate possesses deep understanding of data management principles, modern data stack, cloud computing and ability to apply them in practical, business-focused context. Partners across IT and with assigned business line(s) to assess, research, and analyze business, technical and system needs in order to resolve business systems issues. What will you do? Creating software for retrieving, parsing and processing structured and unstructured data. Defining and building scalable ETL/ELT workflows for reporting and analytics. Developing scripts and programs for converting various types of data into usable formats. Contribute to technical design, development, and implementation of applications. Working with different RBC internal teams for software feature delivery, support and bug fixes. Supporting project team to scale, monitor and operate data platforms for very high availability and performance. Ensure code quality, performance, scalability, responsiveness of applications. Participate in post-implementation reviews of application, development, and processes, continually working to create a learning environment by sharing with others. What do you need to succeed? Must have Payment domain experience especially in retail and commercial banking 4+ years of professional Experience skills in one of the following programming languages such as Python, Scala, Java, or C++. Strong NoSQL/SQL databases skills. Experience in working with Big Data Technologies (Spark, Hadoop, Hive, Kafka, Snowflake, Databricks, Azure Data Lake, Elastic Search). Strong understanding of object-oriented design and functional programming. Nice-to-have: AML or Fraud Domain experience Experience with cloud platforms (AWS, GCP, and Azure) and MLOps tools. Strong understanding of software development principles, including design patterns, testing, and deployment. Experience with DevOps practices such as CI/CD, experience with containerization using Docker and Kubernetes. 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. Network and build lasting relationships with students from diverse backgrounds from across Canada Participate in fun events and gamification challenges to help build your career tool kit while enjoying a work-life balance Leaders who support your development through coaching and learning opportunities Work in a dynamic, collaborative, progressive and highly performing team Ability to make a difference and lasting impact #LI-POST #TECHPJ Job Skills Apache Spark, Big Data Management, Cloud Computing, Database Development, Data Mining, Data Pipelines, Data Warehousing (DW), ETL Processing, Group Problem Solving, Object-Oriented Programming (OOP), Payments Domain, Payment Systems, Python (Programming Language), Quality Management, Requirements Analysis, Snowflake (Platform), SQL Database Queries Additional Job Details Address: RBC CENTRE, 155 WELLINGTON ST 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: 2025-11-17 Application Deadline: 2025-12-31 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. Join our Talent Community Stay in-the-know about great career opportunities at RBC. Sign up and get customized info on our latest jobs, career tips and Recruitment events that matter to you. Expand your limits and create a new future together at RBC. Find out how we use our passion and drive to enhance the well-being of our clients and communities at jobs.rbc.com.

Responsibilities

The Senior Data Engineer will create software for retrieving, parsing, and processing structured and unstructured data, and define and build scalable ETL/ELT workflows for reporting and analytics. The role involves collaborating with cross-functional teams to drive business growth and improvement while ensuring high availability and performance of data platforms.