Senior Azure Data Engineer — Hybrid Data Platform Lead
Lysander Funds Careers
Toronto
On-site
CAD 100,000 - 140,000
Full time
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
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.