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Intermediate to Senior Data Engineer to build scalable Databricks pipelines; PySpark, SQL, medallion architecture

Job in Toronto, Ontario, M5A, Canada
Listing for: S.i. Systems
Contract position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Warehousing, Business Intelligence
Job Description & How to Apply Below
Position: Intermediate to Senior Data Engineer to build scalable Databricks pipelines (PySpark, SQL, medallion architecture) on

Intermediate to Senior Data Engineer (Databricks)

6 month contract, likely extension | Remote, Canada (EST hours) | 40 hrs/week

About the Project

Our client, a leading North American utility, is transforming its data and analytics function. The team is moving away from ad hoc, ticket based reporting toward a scalable data platform that delivers automated, self service reporting in Power BI. You’ll help build out close to business metrics across a layered (medallion) architecture in Databricks, with more to follow as the platform grows.

The team recently adopted Agile with 2 week sprints.

Responsibilities

  • Design, build, and maintain data pipelines in Databricks using PySpark and SQL
  • Develop and organize data across bronze, silver, and gold layers (medallion architecture)
  • Translate business requirements into reliable, reusable data models and metrics
  • Enable automated reporting and self service analytics in Power BI
  • Ingest and integrate data from multiple sources, including SAP and Azure services
  • Improve data quality, performance, and pipeline reliability
  • Work within Agile sprints alongside data architects, analysts, and business partners
  • Must Haves

  • 5 to 10+ years of data engineering experience
  • Strong hands on experience with Databricks
  • PySpark and Databricks SQL
  • Medallion architecture experience
  • Nice to Haves

  • Utility industry experience (billing, accounts receivable, customer operations, call centre, outage management, ADMS, or meter/premise data)
  • SAP data experience (functional or technical)
  • Python
  • Microsoft Fabric, Azure Data Factory, Azure Functions, Dataflows
  • Experience in an Azure/Microsoft environment
  • Power BI exposure
  • Position Requirements
    10+ Years work experience
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