As of November 6, 2026, Jobsy lists 3 lead data engineer jobs in Toronto, ON. The most active employers are Capgemini, Kabam and Altis. Skills often requested: data engineering, sql, python and data modelling.
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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
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
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
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.