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Senior Azure Data Engineer — Hybrid Data Platform Lead

Lysander Funds Careers

Toronto

On-site

CAD 100,000 - 140,000

Full time

Today
Be an early applicant

Job summary

A leading investment fund manager in Toronto is seeking a Senior Data Engineer to develop and optimize data infrastructure within the Azure ecosystem. The ideal candidate will have extensive experience in data engineering, particularly with tools such as Azure Data Factory and Databricks, and strong skills in Python and SQL. This full-time role offers opportunities to engage with cross-functional teams and contribute to secure, scalable data platforms.

Qualifications

  • 5-10 years of professional experience in data engineering including senior-level responsibilities.
  • Proven expertise with the Azure data stack.
  • Experience in financial services or regulated industries is preferred.

Responsibilities

  • Build scalable, performant, and reliable data pipelines.
  • Ingest data from various sources into scalable data pipelines.
  • Collaborate with teams to align on data architecture and strategies.
  • Ensure compliance with data security and regulatory requirements.

Skills

Azure Data Factory
Azure SQL
Databricks
Python
SQL
DevOps principles
Data modeling
Big data principles

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

Azure Data Lake (Gen2)
Event Hubs
Azure Purview
CI/CD pipelines
Job description
A leading investment fund manager in Toronto is seeking a Senior Data Engineer to develop and optimize data infrastructure within the Azure ecosystem. The ideal candidate will have extensive experience in data engineering, particularly with tools such as Azure Data Factory and Databricks, and strong skills in Python and SQL. This full-time role offers opportunities to engage with cross-functional teams and contribute to secure, scalable data platforms.
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