Lead Data Engineer jobs in Canada

As of November 6, 2026, Jobsy lists 8 lead data engineer jobs in Canada. The most active employers are Capgemini, Kabam and Altis. Skills often requested: data engineering, sql, python and data modelling.

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Results

• 11d

  Lead Data Engineer – Microsoft Fabric

  Vancouver, BC

  Contract

  

  Querentia Inc.

  10+ YOECandidates need 10-15 years of data engineering experience, including 3+ years on Microsoft Fabric. Strong skills in Fabric Data Factory, Spark, Lakehouse, Warehouse and OneLake, plus proven technical leadership and mentoring experience, are required.

  Microsoft Fabric, Fabric Data Factory, Spark, Lakehouse, Warehouse, OneLake

• 15d

  Lead Data Engineer

  Vancouver, BC

  

  Capgemini

  Candidates need experienced, expert-level Spark (PySpark) skills, hands-on Azure data pipeline development, experience with Azure Data Factory or Airflow, strong SQL and denormalized big data modeling. Databricks and Jupyter, Colab or Databricks notebooks are preferred.

  Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks

  15d

  Lead Data Engineer

  Vancouver, BC

  

  Capgemini

  Candidates need strong, hands-on experience with PySpark and Databricks, plus Python, SQL, Delta Lake and cloud platforms such as Azure or AWS. Experience with orchestration tools like Azure Data Factory or Airflow and with leading data engineering teams is expected.

  Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks

• 15d

  Lead Data Engineer

  Toronto, ON

  $100k–$120k/yrFull Time

  

  Altis

  7+ YOECandidates need 7+ years in data engineering or a related field, strong SQL, Python and Apache NiFi skills, and experience with data warehousing and cloud platforms such as Azure or GCP. Technical leadership and mentoring experience is also required.

  Apache NiFi, SQL, Python, Microsoft Azure, Google Cloud Platform

• 18d

  Lead Data Engineer

  Vancouver, BC

  $150k–$200k/yrOn-siteFull Time

  

  Kabam

  7+ YOE2+ MgmtCandidates need 7+ years in data engineering, including 2+ years leading engineers or owning a data platform. They need deep SQL and Python skills, production experience with dbt and a cloud warehouse (BigQuery preferred), and a record of reducing cloud data cost at scale.

  BigQuery, Databricks, dbt, Spark, GCP, Dataplex

• 22d

  Lead Data Engineer

  Toronto, ON

  

  Scotiabank

  10+ YOECandidates need 10+ years of data analysis and large OLTP performance experience, plus wealth industry knowledge of IIROC-CRM and CRA guidelines. Strong communication, analytical skills and hands-on experience with Google Cloud databases, Hadoop and streaming tools are required.

  Google Cloud Platform, Spanner, PostgreSQL, Hadoop, Hive, Pig

• 25d

  Lead Data Engineer

  Toronto, ON

  $130k–$150k/yrFull Time

  

  PureFacts Financial Solutions

  Candidates need a bachelor's degree in a quantitative field and experience with a programming language such as Python or Scala. A basic understanding of SQL, data warehousing concepts and cloud platforms, preferably Azure, is expected, along with a willingness to learn Snowflake and DBT.

  Snowflake, Azure Data Factory, Azure Data Lake Storage, DBT, Git, Power BI

• 29d

  Lead Data Engineer

  Remote in Canada

  Remote

  OE

  OneSix - External

  6+ YOECandidates need a bachelor's or master's degree in a related field and 6+ years in BI or data engineering. They need expert SQL, data modeling, and ETL skills, experience with Power BI, Tableau, or Looker, cloud data platforms, and Python or R.

  Power BI, Tableau, Looker, Snowflake, AWS, Azure

7 companies