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Senior Data Engineer

Toronto, Ontario
On-site
Full-time
No salary posted4 days ago
Employment type
Full-time · On-site
Posted
November 9, 2026
Province
Ontario (ON)

Hiring confidence: Sparse posting · 22/100

This posting is missing most of the signals we look for, or shows patterns common to listings that are not actively being filled. Check with the employer before applying. How this is scored

Job Overview

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Must have : SQL Datawarehouse Banking domain 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. Major Responsibilities Build and optimize data pipelines for efficient data ingestion, transformation and loading from various sources while ensuring data quality and integrity. Desig…

This role is based in Ontario. E IT is hiring for this full-time position through Jobily, where you can check how well your resume matches the posting before you apply.

Market context

About this role in Ontario

Average salary for Senior Data Engineer in Ontario

We do not have a salary benchmark for this title in Ontario yet. The posting does not state a salary either.

NOC code

This posting has not been matched to a NOC 2021 unit group yet. Use the NOC finder to identify the code from the duties listed above.

Typical qualifications for Canadian employers

  • SQL Datawarehouse experience
  • Banking domain knowledge
  • Python proficiency
  • PySpark experience
  • Data warehousing expertise

Fit check

Is this role right for you?

Top skills this posting asks for:

  • SQL
  • Python
  • PySpark

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What you'll do

  • Build and optimize data pipelines for efficient data ingestion
  • Transform and load data from various sources
  • Ensure data quality and integrity
  • Design data warehouse solutions
  • Collaborate with business users
  • Work with business analysts

What you'll need

  • SQL Datawarehouse experience
  • Banking domain knowledge
  • Python proficiency
  • PySpark experience
  • Data warehousing expertise
  • Enterprise-level systems experience
  • Business analyst expertise

About the Company

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E IT