Senior Data Engineer & Platform Lead – Hybrid, PySpark

Intact Financial Corporation; Toronto; Hybrid; CAD 90,000 - 120,000; Full time

Job summary

A leading Canadian financial services firm is seeking a Senior Data Engineer to join its data science lab in Toronto. This role offers the opportunity to lead on projects involving data ingestion and transformation utilizing Python, Databricks, and AWS. The ideal candidate has at least 6 years of experience in software and data engineering and a relevant degree. The position supports a hybrid work model with numerous employee benefits including financial rewards and wellness programs.

Benefits

Financial rewards program

Employee Share Purchase Plan

Extensive flex pension and benefits

Flexible work arrangements

Annual wellness account

Dynamic workplace learning ecosystem

Community Impact program

Qualifications

• 6+ years experience in Software Engineering / Data Engineering / ETL development.
• Strong proficiency in Python and PySpark Framework.
• Understanding of OOP and SOLID principles.

Responsibilities

• Participate in the analysis design, development, and delivery of data pipelines.
• Implement industry best practices in data engineering.

Skills

Python programming

Cloud Databricks

Amazon Web Services

Snowflake

ETL development

Data Warehousing

Understanding of software design patterns

Education

Bachelor’s degree in computer science or Software Engineering

Job description

A leading Canadian financial services firm is seeking a Senior Data Engineer to join its data science lab in Toronto. This role offers the opportunity to lead on projects involving data ingestion and transformation utilizing Python, Databricks, and AWS. The ideal candidate has at least 6 years of experience in software and data engineering and a relevant degree. The position supports a hybrid work model with numerous employee benefits including financial rewards and wellness programs.