Senior Data Engineer

Toronto, ON
Hybrid
Posted Oct 8, 2026
1 position

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Employment type: Contract
Experience level: Lead · 10+ years
Posting language: English
Working hours: 40 hours per week
Seniority: Mid-Senior level
Application method: Direct apply is available

Job summary

Develop and deploy ETL pipelines and enterprise-scale data warehouse solutions using SQL, Python, PySpark, and Databricks. Contribute to cloud data platform migration and architecture, while working with business users and business analysts.

Job details

Role: Senior Data Engineer Location: Ottawa/Toronto (Hybrid) Contract Must have : SQL+ Datawarehouse+ Banking domain Total experience: 11+ years Job Description: This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems. The position calls for someone that is comfortable working with business users along with business analyst expertise. Skills: 5+ years - SQL Server based development of large datasets 5+ years with Experience with developing and deploying ETL pipelines using Databricks Pyspark. Experience in any cloud data warehouse like Synapse, Big Query, Redshift, Snowflake. Experience in Data warehousing - OLTP, OLAP, Dimensions, Facts, and Data modeling. Previous experience leading an enterprise-wide Cloud Data Platform migration with strong architectural and design skills.

What you’ll do

Requirements

Requires 11 or more years of total experience, including at least five years of SQL Server development with large datasets and experience building and deploying Databricks PySpark ETL pipelines. Candidates should have data warehousing and data modeling expertise, experience with a cloud data warehouse, strong architectural and design skills, and banking domain experience.