Remote Data Engineer for AI-Driven PE Platform

SESAMm; Toronto; Hybrid; CAD 80,000 - 100,000; Full time

Job summary

A leading data analytics company is seeking a Data Engineer to contribute to an AI platform project transforming investment analysis. This role involves designing data architectures, collaborating with data scientists, and improving data workflows. Candidates should have a master’s degree and extensive experience with data pipelines and financial data. The position offers opportunities for personal and professional growth within a multicultural work environment.

Benefits

Remote work flexibility

Professional development opportunities

Mentorship and training programs

Collaborative work environment

Global exposure

Qualifications

• Masters degree in Data Engineering, Computer Science or a related technical field.
• 35 years of hands-on experience designing and maintaining large-scale data pipelines.
• Proven experience working with structured and unstructured financial data.

Responsibilities

• Design, build and maintain robust data pipelines for investment workflows.
• Develop scalable data infrastructure and ensure compliance with security standards.
• Collaboration with data scientists and investment professionals to operationalize analytics.
• Automate data workflows and contribute to continuous improvement.

Skills

Advanced proficiency in Python

Advanced proficiency in SQL

Experience with AWS

Experience with Azure

Experience with GCP

Experience with Databricks

Strong communication skills

Fluency in English

Education

Masters degree in Data Engineering

Masters degree in Computer Science

Tools

AWS

Airflow

Spark

Kafka

Job description

A leading data analytics company is seeking a Data Engineer to contribute to an AI platform project transforming investment analysis. This role involves designing data architectures, collaborating with data scientists, and improving data workflows. Candidates should have a master’s degree and extensive experience with data pipelines and financial data. The position offers opportunities for personal and professional growth within a multicultural work environment.