Data Engineer

Toronto, ON, Canada

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Job details

Posting language: English
Posted: May 27, 2026

Original job description

We're hiring a hands-on Data Engineer to join the Total Fund Management Portfolio Management Technology team. The role focuses on building and optimizing large-scale cloud data systems with Spark/PySpark and modern storage formats.

KEY RESPONSIBILITIES

Develop and optimize Spark workloads in cloud environments Work with

large datasets using Parquet and Iceberg

Translate requirements into robust engineering solutions

Ensure performance, reliability, and maintainability

Contribute to monitoring, documentation, and deployment

MUST HAVE

Strong Python and PySpark

Hands-on Apache Spark, cloud preferred

Databricks experience

Large-scale data systems expertise

Client-facing delivery background

Independent problem-solving in ambiguous settings

NICE TO HAVE

AWS Glue and Lake Formation

Airflow and orchestration tools

Distributed data architectures

Capital markets exposure

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More about this job

Responsibilities

Develop and optimize large-scale cloud data systems and Spark workloads using Parquet and Iceberg. Ensure the performance, reliability, and maintainability of engineering solutions while contributing to monitoring and deployment.

Requirements

Requires strong expertise in Python, PySpark, and Databricks for building large-scale data systems. Candidates should have a background in client-facing delivery and the ability to solve problems independently in ambiguous settings.

Skills

Python
PySpark
Apache Spark
Databricks
Parquet
Iceberg
AWS Glue
Lake Formation
Airflow
Distributed Data Architectures
Capital Markets
Cloud Data Systems

Visa sponsorship

Not detected in the job text

Keywords

Data Engineer
Spark
PySpark
Cloud Data Systems
Parquet
Iceberg
Databricks
AWS Glue
Lake Formation
Airflow
Distributed Data Architectures
Capital Markets
Python
Data Engineering

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