As of November 6, 2026, Jobsy lists 4 lead data engineer jobs in Vancouver, BC. The most active employers are Capgemini, Kabam and Altis. Skills often requested: data engineering, sql, python and data modelling.
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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
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
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
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
Common questions
Who is hiring lead data engineers?
Capgemini (2), Kabam (1), Altis (1), PureFacts Financial Solutions (1) and Querentia Inc. (1).
What skills do lead data engineer jobs ask for?
Postings most often mention data engineering, sql, python, data modelling, communication skills, microsoft azure, apache spark and reporting.