Hybrid Senior Data Engineer — Wealth Tech Pipelines

Talent To Hire Inc.; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading recruitment firm is looking for a Senior Data Engineer for a hybrid role in Toronto. You will design, build, and maintain data pipelines, ensuring data quality and governance. Ideal candidates have over 8 years of experience in data engineering, strong skills in SQL, Python, and cloud technologies, and prior financial services experience. This is an excellent opportunity to influence data innovation in the wealth tech space.

Qualifications

• 8+ years of data engineering experience required.
• Experience with financial services is a must.
• Strong skills in SQL, Python, and modern data stack tools.

Responsibilities

• Design, build, and maintain robust ETL / ELT data pipelines.
• Collaborate with analysts to translate needs into technical solutions.
• Recommend scalable data architectures using AWS and other tools.
• Ensure data quality, observability, and governance.
• Mentor junior engineers and promote engineering best practices.

Skills

SQL

Python

Airflow

Snowflake

AWS Glue

S3

Lambda

Terraform

Tools

CI/CD tools

Monitoring tools

Job description

A leading recruitment firm is looking for a Senior Data Engineer for a hybrid role in Toronto. You will design, build, and maintain data pipelines, ensuring data quality and governance. Ideal candidates have over 8 years of experience in data engineering, strong skills in SQL, Python, and cloud technologies, and prior financial services experience. This is an excellent opportunity to influence data innovation in the wealth tech space.