Remote Data Platform Engineer for AI Analytics

SESAMm SAS; Toronto; Remote; CAD 80,000 - 110,000; Full time

Job summary

A leading data analytics firm in Toronto is seeking a Data Engineer to join an innovative AI platform project. The role involves designing data architectures, developing pipelines for investment analysis, and collaborating with teams across finance. The ideal candidate has a Master's degree and 3–5 years of experience with data engineering. Benefits include remote work flexibility, professional development opportunities, and a multicultural work environment.

Benefits

Remote work flexibility

Career development opportunities

Professional training and mentorship

Multicultural work environment

Global collaboration opportunities

Qualifications

• 3–5 years of hands-on experience designing and maintaining large-scale data pipelines.
• Proven experience working with structured and unstructured financial data or other complex data domains.
• Experience in finance, consulting, or private equity environments.

Responsibilities

• Design and maintain robust data pipelines and architectures.
• Develop scalable data infrastructure and monitor data flow performance.
• Collaborate with data scientists and investment teams to operationalize analytics.
• Automate data workflows and implement CI/CD pipelines.

Skills

Python

SQL

Cloud platforms (AWS, Azure, GCP)

Data orchestration tools (Airflow, Prefect)

Data modeling

API integration

Big data frameworks (Spark, Kafka)

Version control (Git)

DevOps practices (CI/CD)

Communication skills

Education

Master’s degree in Data Engineering or Computer Science

Job description

A leading data analytics firm in Toronto is seeking a Data Engineer to join an innovative AI platform project. The role involves designing data architectures, developing pipelines for investment analysis, and collaborating with teams across finance. The ideal candidate has a Master's degree and 3–5 years of experience with data engineering. Benefits include remote work flexibility, professional development opportunities, and a multicultural work environment.