Cloud Data Engineer (Python) — ETL, Azure, High-Impact

Tactable; Toronto; On-site; CAD 100,000 - 140,000; Full time

Job summary

A leading tech firm in Toronto is seeking a Data Engineer to join their hybrid team. This role involves building robust data pipelines using Python and SQL, and offers opportunities for client exposure in finance and enterprise tech. Ideal candidates will have extensive experience in data engineering, proficiency in cloud infrastructure and orchestration tools. The position offers a competitive salary between $100,000 to $140,000 annually and emphasizes technical leadership and mentorship within a dynamic and innovative environment.

Qualifications

• Extensive experience in data engineering or software engineering roles.
• Strong programming skills in Python and experience building production-grade data pipelines.
• Familiarity with data orchestration tools.

Responsibilities

• Build scalable, reliable ETL/ELT pipelines using Python and SQL.
• Own critical components of infrastructure across batch and streaming systems.
• Work directly with client engineering teams in finance, trading, and enterprise tech.

Skills

Python

SQL

Cloud infrastructure

Data pipelines

CI/CD pipelines

Data orchestration tools (e.g., Airflow, dbt)

Tools

Docker

Kubernetes

Job description

A leading tech firm in Toronto is seeking a Data Engineer to join their hybrid team. This role involves building robust data pipelines using Python and SQL, and offers opportunities for client exposure in finance and enterprise tech. Ideal candidates will have extensive experience in data engineering, proficiency in cloud infrastructure and orchestration tools. The position offers a competitive salary between $100,000 to $140,000 annually and emphasizes technical leadership and mentorship within a dynamic and innovative environment.