Our financial services client is seeking a Senior Data Engineer (10+ years) to support institutional execution data initiatives using Databricks, ADF, and Azure technologies Join a global asset management technology team supporting large-scale institutional execution initiatives within a regulated financial services setting.

This role focuses on Databricks engineering, Azure-based data integration, Unity Catalog configuration, and deployment pipelines supporting ongoing transformation initiatives.

The team is exploring advanced Databricks functionality as part of a broader modernization effort.

The position works closely with Data Engineering leadership and business analysts on enterprise-scale data initiatives.

Hybrid: 1 Day a week in office (Thursday) and 4th Friday of the month - 81 Bay Street, Toronto Contract: 6 months with a posibility of extension Must Haves 7+ years with ADF , Databricks , and Azure Functions (C#) In-depth development using Python , Databricks notebooks, Spark,



and panda Expert-level configuration of Unity Catalog and data governance setup Deployment pipelines using Azure Dev

Ops and Git

Hub Enterprise for ADF and Databricks 10+ years in data engineering and analytics environments Nice to Have Delta Live Table Financial Services industry experience Experience converting Databricks workspace from hive metastore to unity catalog Experience working in locked-down Windows environments within regulated industries Responsibilities Load datasets from various sources using ADF to Databricks within Medallion architecture Configure Unity Catalog and associated permissions Create delta table schemas and tables with security permissions Deploy solutions to Azure PaaS resources including Azure SQL PaaS, ADLS, Databricks, and Synapse dedicated SQL databases Build Dev

Ops deployment pipelines for ADF and Databricks environments Configure Azure Entra ID for SSO and RBAC setup Lead technical problem-solving sessions with a small team Interview: 1 - Teams round

📌 Senior Data Engineer(10+ years) to support institutional execution data initiatives using Databricks, ADF, and Azure technologies 107546-1/107498-1 (Toronto)
🏢 S.i. Systems
📍 Toronto