As of November 6, 2026, Jobsy lists 7 analytics engineer jobs in Toronto, ON. The most active employers are Securian Canada, AutoTrader.ca and Create Music Group. Skills often requested: sql, data engineering, python and reporting.
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3+ YOECandidates need a quantitative bachelor's degree and at least three years of hands-on Python for production-quality code. They also need SQL, ETL or data pipeline experience, and an understanding of the machine learning data lifecycle.
ACV Auctions: ACV is a high growth technology company that provides a vibrant digital marketplace for wholesale vehicle transactions and data services.
3+ YOECandidates need 3+ years in analytics engineering, data engineering or BI, hands-on dbt experience, and expert SQL on BigQuery or a comparable cloud warehouse. A statistics, math, or computer science degree and strong communication skills are also required.
dbt, Omni BI, BigQuery, Git, Google Cloud Platform
4+ YOECandidates need 4+ years in analytics, data or BI engineering, strong SQL and dimensional modeling, dbt or similar tools, Python, and experience with a cloud data warehouse such as Snowflake, Databricks, BigQuery or Redshift. Strong communication and data governance awareness are also expected.
Wirelessdna: Wireless DNA is a Canadian telecommunications provider delivering reliable wireless and connectivity solutions for both businesses and consumers…
3+ YOECandidates need 3 to 5 years in a hands-on data role, strong SQL, PySpark, Power BI with DAX, Power Query and advanced Excel. They must have built automated processes that replaced manual work and be self-directed.
Microsoft Fabric, Power BI, Power Query, Excel, SharePoint, PySpark
Securian Canada: Securian Canada is a leading insurance provider with more than 65 years of experience innovating in the Canadian financial institution and…
8+ YOECandidates need 8+ years of analytics, data or BI engineering experience, advanced SQL skills and experience building production data pipelines and dimensional models. A degree in a related field or equivalent practical experience is also required.
SQL, Python, Cloud data warehouse, Lakehouse platform, BI platform
7+ YOECandidates need 7+ years of analytics or data engineering experience, advanced SQL, and dimensional and semantic modeling skills. Strong Python and AWS experience, including Glue, Athena, S3 or MWAA, is needed, along with the ability to lead and mentor.
4+ YOECandidates need 4+ years building analytics or data platforms, expert SQL, production dbt experience and dimensional modeling skills. They should have operated an orchestrator such as Airflow, be comfortable in Python, and be able to work independently.