Senior Data Engineer - GFT

RBC; Toronto; On-site; CAD 90,000 - 130,000; Full time

Job summary

RBC is seeking a Data Engineer for its Fraud and AML IT team in Toronto. The role involves developing data pipelines, collaborating with cross-functional teams, and driving innovation in data management practices. The ideal candidate will have experience in cloud computing, and leadership in delivering high-quality solutions that align with business needs.

Qualifications

• Strong background in data engineering and software development.
• Experience with cloud technologies and data management principles.
• Leadership experience with a proven track record.

Responsibilities

• Creating software for processing structured and unstructured data.
• Defining and building scalable ETL/ELT workflows.
• Ensuring code quality and responsiveness of applications.

Skills

Apache Spark

Big Data Management

Cloud Computing

Database Development

Data Pipelines

Python

SQL Database Queries

Job description

Job Summary

We are looking for a skilled Data Engineer to join our Toronto Fraud and AML IT team. The candidate will work on the development and deployment of data pipelines, drive innovation, and collaborate with cross-functional teams to drive business growth and improvement. The ideal 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. They will collaborate closely with team members in an Agile Squad, including product owners, architects, business analysts, and quality engineers.

The candidate should have a deep understanding of data management principles, the modern data stack, cloud computing, and the ability to apply these in practical, business-focused contexts. They will partner across IT and with assigned business lines to assess, research, and analyze business, technical, and system needs to resolve business systems issues.

Job Description

• 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.
• Contributing to the technical design, development, and implementation of applications.
• Working with different RBC internal teams for software feature delivery, support, and bug fixes.
• Supporting the project team to scale, monitor, and operate data platforms for high availability and performance.
• Ensuring code quality, performance, scalability, and responsiveness of applications.
• Participating in post-implementation reviews of applications, development, and processes, and continually working to create a learning environment by sharing knowledge with others.

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, 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: 2025-06-26

Application Deadline: 2025-07-18

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 with diverse perspectives is core to our continued growth. We strive to foster a workplace where employees feel supported to perform at their best, collaborate effectively, drive innovation, and grow professionally. RBC is committed to policies and programs that promote respect, belonging, and opportunity for all.

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