As of November 6, 2026, Jobsy lists 226 data engineer jobs in Canada. The median advertised pay is $125,008 a year (from 29 postings). The most active employers are Capgemini, Pathlion and Randstad Canada. Skills often requested: data engineering, sql, python and aws.
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Candidates need hands-on experience with Azure data services, Python, and SQL, plus knowledge of data governance and privacy standards such as FOIP and GDPR. Experience with data pipelines, data modelling and AI-assisted development tools is expected.
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure API Management, ServiceNow
Candidates need hands-on experience with Azure data services, Python and SQL, and building data pipelines and models. Strong knowledge of data governance, privacy standards and AI-assisted development tools is expected.
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure API Management, ServiceNow
Candidates need senior data engineering experience on Microsoft Azure, strong Python and SQL, and experience with pipelines, governance and privacy standards. Familiarity with ServiceNow, geospatial data and AI-assisted development tools is an asset.
Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure Data Lake Storage Gen2, Azure API Management, ServiceNow
Pathlion needs candidates with hands-on Talend development experience, strong SQL skills on relational databases, and experience designing ETL/ELT processes. Production support experience with job scheduling, monitoring and incident resolution is required.
Talend Studio, Talend Data Fabric, Oracle, SQL Server, PostgreSQL, Azure API Management
Candidates need strong data engineering experience with ETL/ELT, cloud platforms and dimensional modelling, plus analytical skills in Python, R, DAX and Power BI. Agile delivery experience is expected.
Azure Data Factory, Databricks, Microsoft Fabric, SSIS, Power BI, Python
Candidates need hands-on Talend and SQL development experience, plus skill in troubleshooting production integrations and performance issues. Experience with job scheduling, monitoring and root cause analysis is expected, along with the ability to work independently in a remote setting.
Talend Studio, Talend Data Integration, Talend Data Fabric, SQL
Capgemini needs candidates with strong or expert Spark (PySpark) skills, hands-on pipeline development experience in Azure, and experience with orchestration tools such as ADF or Airflow. They also need SQL and denormalized data modeling skills for big data systems.
Candidates need strong, expert-level Spark (PySpark) skills, hands-on Azure data pipeline experience, and knowledge of orchestration tools such as ADF or Airflow. Experience with SQL, denormalized data modeling for big data, and Jupyter, Colab or Databricks is also expected.
Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
5+ YOE3+ MgmtCandidates need 5+ years of data engineering experience and 3+ years of technical leadership, with strong SQL, Python and Azure skills and experience with Databricks. Azure Data Factory, Power BI or Microsoft Fabric experience is an asset.
SQL, Python, Microsoft Azure, Databricks, Azure Data Factory, Power BI
5+ YOECandidates need 5+ years of software development, including 3+ years in data engineering for ML teams, with experience building ML training pipelines and lakehouses. Strong Python, SQL and Spark skills, feature store and MLOps experience, and Kafka and Airflow are required.
Spark, Snowflake, Databricks, Delta Lake, Kafka, Airflow
3+ YOECandidates need 3+ years in data, software or cloud engineering with production experience. They should know Python, SQL, Git, GCP, Kubernetes, Docker, Helm, CI/CD and Apache Airflow.
GCP, BigQuery, Google Cloud Storage, GKE, Docker, Helm
7+ YOECandidates need 7+ years of data engineering experience, solid Databricks and Spark development skills, and experience with Hadoop, streaming tools and cloud platforms. A university degree in a relevant STEM field and strong communication skills are also needed.
1+ YOECandidates need a bachelor's degree in business or a similar field and about one year of compliance or similar work. Strong attention to detail, communication skills and the ability to work under pressure are also required.
2+ YOECandidates need 2 to 4 years in data engineering, analytics engineering or a strong BI role with pipeline work, plus strong SQL, Python and cloud warehouse experience, Snowflake preferred. They must have production ETL or orchestration experience and a disciplined approach to validating data.
Candidates need strong backend programming fundamentals (Go, Java, C#, Rust, C++, Kotlin or server-side TypeScript), comfort with SQL and query performance, some Linux and container experience, and thoughtful use of AI coding tools. Based in Toronto or willing to relocate.
Aviva Canada Inc: Leading insurer for home, auto, lifestyle and Business / Assurance automobile, habitation, mode de vie et entreprise
6+ YOECandidates need 6+ years of data engineering experience, including 3+ years with Snowflake, dbt and AWS. Strong coding skills in SQL and Python and experience with orchestration tools are required, and insurance domain knowledge is an asset.
5+ YOECandidates need an undergraduate degree in computer science or equivalent experience, at least five years in database engineering and two years building data pipelines. Hands-on ETL skill with Informatica and Azure, plus expert Excel knowledge, is required.
Informatica, Azure Data Factory, Databricks, Microsoft Azure, MS Excel, FIS
3+ YOECandidates need 3+ years of production data engineering experience, advanced SQL, and 2+ years of hands-on AWS experience. They also need 2+ years with dbt and a cloud data warehouse like Redshift or Snowflake, plus solid Python skills.
BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.
5+ YOECandidates need at least 5 years of data engineering experience, including 3 years with Databricks, Spark and cloud data platforms. Strong Python or Scala skills, Azure expertise and CI/CD experience are also required.
Databricks, Delta Lake, Apache Spark, Azure Data Lake, Azure Synapse, Azure DevOps
BDO Canada LLP: BDO Canada LLP is a leading provider of professional services to clients across a variety of sectors and segments.
5+ YOECandidates need at least 5 years of data engineering experience, including 3 years with Databricks, Apache Spark and cloud platforms. Strong Python or Scala skills, Azure expertise and CI/CD experience are required, along with excellent communication skills.
Databricks, Apache Spark, Delta Lake, Azure Data Lake, Azure Synapse, Azure DevOps
2+ YOECandidates need a degree or diploma in computer science or a related field, or equivalent experience, plus 2 to 5 years in data engineering or data warehousing. Strong SQL, SQL Server, Microsoft Fabric, Azure Synapse and Power BI skills are required.
SQL Server, Microsoft Fabric, Azure Synapse, Power BI, Azure Data Factory, Azure DevOps
6+ YOECandidates need 6+ years of data or backend engineering experience, including high-volume streaming systems. They must be strong in Python or Elixir, advanced SQL, columnar databases and Kafka, Flink, Pulsar or Kinesis, with AWS experience.
3+ YOECandidates need 3 to 5 years of data engineering experience on cloud platforms and production pipelines. They must know advanced SQL, Python or Node, at least one data warehouse, and workflow tools such as Prefect or Dagster.
BigQuery, Redshift, Snowflake, Postgres, Cloud SQL, Cloud Run
The median advertised pay is $125,008 a year, across 29 postings that list pay. The lowest quarter pays under $107,994 and the top quarter over $134,992.