Iris's client, one of the Top 5 Bank in Canada is looking to hire a Sr. Data Engineer for a long term contract opportunity.

Our Client is a Canada multinational financial services company and the largest bank in Canada by market capitalization. The bank serves over 17 million clients and has more than 89,000 employees worldwide. Bank is serving individual consumers, small and middle market businesses and large corporations with a full range of banking, investing, asset management and other financial and risk-management products and services.

Position: Sr. Data Engineer

Location: Toronto, ON (Hybrid)

Duration: Long Term

What will you do?

• Design, build, and optimize scalable data pipelines to support Research Digitization, Banking, Global Markets, and Data Monetization use cases
• Develop and operationalize data products across structured and unstructured sources, including alternative data
• Deploy, manage, and performance-tune large-scale Spark workloads on Databricks, ensuring reliability, scalability, and cost-efficiency
• Collaborate with data scientists, quant teams, and business stakeholders to enable data-driven decision-making
• Contribute to automation efforts via CI/CD pipelines, infrastructure-as-code, and reusable data frameworks

Must Have

• Strong experience with Python and Spark (PySpark)
• Hands-on with Databricks (Jobs, Workflows, Delta Lake, Unity Catalog)
• Proficient in SQL for complex data transformations and optimizations
• Proficient in CI/CD principles, version control and best practices for deploying workloads to production
• Solid understanding of distributed data processing and production-grade data workflows

Nice to Have

• Exposure to Machine Learning workflows and tools like MLFlow.
• Exposure to Generative AI stack (LLMs, Agents, MCP Servers, etc.)
• Familiarity with Snowflake, Airflow, or similar orchestration and warehousing platforms

Thanks and Regards,

Raghav Ranjan

Iris Software

Royal Bank Plaza - North Tower

200 Bay Str. Toronto, ON, M5J 2J2

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