Data Engineer, Enterprise Data, Insights & Analytics (Toronto)

What you’ll do:

• Design, develop, and maintain ETL/ELT pipelines on Azure‑based data platforms, leveraging Azure Synapse (Dedicated/Serverless Spark pools) and/or Databricks to extract, transform, and load financial and operational data into KPI data marts and reporting layers.
• Partner with Business stakeholders to gather and document business requirements, understand financial processes, and translate them into scalable technical solutions.
• Build, enhance, and maintain scalable, well‑documented data model that support financial reporting, performance measurement, and downstream analysis.
• Support the delivery of time‑sensitive financial datasets, ensuring adherence to timelines, quality standards, and control requirements.
• Perform data reconciliation and analytical validation across source systems, pipelines, and reporting outputs; investigate variances, conduct root‑cause analysis, and resolve issues prior to data release.
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