Data Platform Engineer, ML & Cloud (Azure Databricks)

0000055458 RBC Global Asset Management Inc.; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading financial services company in Toronto is seeking a Principal Engineer to modernize their quantitative investment platforms. The successful candidate will lead the design of scalable data and machine learning pipelines, work directly with investment teams, and apply best practices for data quality and compliance. Ideal applicants should have a strong technical background in cloud platforms and a solid grasp of Python and SQL. This full-time position offers competitive compensation and opportunities for professional development.

Benefits

Comprehensive Total Rewards Program

Flexible benefits

Competitive compensation

Opportunities for professional development

Qualifications

• Strong technical background with expertise in cloud platforms.
• Proficiency in Python, SQL, Spark, and big data technologies.
• Experience with machine learning and AI applications.
• Excellent ability to work with quantitative researchers.
• Proven track record of applying AI/ML tools effectively.

Responsibilities

• Lead the design and implementation of data and machine learning pipelines.
• Partner with Quantitative Investment and Research teams.
• Drive change management and develop training programs.
• Construct robust data processing pipelines for financial datasets.
• Define best practices for a modern data platform.

Skills

Cloud platforms (Azure, Databricks)

Data engineering

Data modelling

Python

SQL

Spark

Machine learning

AI applications

Cross-functional collaboration

Education

Relevant degrees in Computer Science, Mathematics, Finance

Advanced technical certifications in cloud technologies

Tools

Matlab

Bloomberg APIs

Job description

A leading financial services company in Toronto is seeking a Principal Engineer to modernize their quantitative investment platforms. The successful candidate will lead the design of scalable data and machine learning pipelines, work directly with investment teams, and apply best practices for data quality and compliance. Ideal applicants should have a strong technical background in cloud platforms and a solid grasp of Python and SQL. This full-time position offers competitive compensation and opportunities for professional development.