Senior Data Engineer — Fraud & AML Data Pipelines

RBC; Toronto; On-site; CAD 80,000 - 100,000; Full time

Job summary

A leading global financial institution in Toronto is seeking a skilled Data Engineer to join its Fraud and AML IT team. The role involves developing and deploying data pipelines and collaborating with cross-functional teams. Candidates should have a strong background in data engineering, software development, and experience with Big Data technologies. This position offers the chance to contribute to innovative solutions within a supportive work environment.

Benefits

Coaching and learning opportunities

Dynamic and collaborative team environment

Work-life balance and flexible work arrangements

Qualifications

• 4+ years of professional experience in data engineering, software development, or a related field.
• Strong understanding of data management principles and modern data stack.
• Experience in the payments domain, especially within retail and commercial banking.

Responsibilities

• Create software for retrieving, parsing, and processing structured and unstructured data.
• Define and build scalable ETL/ELT workflows for reporting and analytics.
• Contribute to technical design, development, and implementation of applications.

Skills

Python

SQL

Apache Spark

Big Data Technologies

Object-Oriented Programming

NoSQL

Job description

A leading global financial institution in Toronto is seeking a skilled Data Engineer to join its Fraud and AML IT team. The role involves developing and deploying data pipelines and collaborating with cross-functional teams. Candidates should have a strong background in data engineering, software development, and experience with Big Data technologies. This position offers the chance to contribute to innovative solutions within a supportive work environment.