As of November 7, 2026, Jobsy lists 12 data engineer jobs in Mississauga, ON. The most active employers are Capgemini, Randstad Canada and RBC. Skills often requested: data engineering, sql, python and aws.
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8+ YOECandidates need 8+ years in data engineering and warehousing, with advanced Python, PySpark and SQL skills and strong Microsoft Azure experience. Proven leadership of technical teams and experience with Spark-based big data solutions are required.
Microsoft Fabric, Azure Data Factory, Azure Synapse Analytics, Databricks, Azure Data Lake Storage, Snowflake
Candidates need solid experience in applications development and data systems, with the judgement to evaluate business processes and recommend programming solutions. They must be able to work with limited supervision and act independently.
8+ YOECandidates need 8+ years of experience, including 3+ years in retail media, AdTech or MarTech. Strong skills in cloud data engineering, Salesforce marketing technologies, Snowflake or Databricks, identity resolution and attribution analytics are required.
5+ YOECandidates need a bachelor's degree or equivalent experience and 5 to 8 years of relevant experience. They need strong skills in Spark, PySpark and Python, plus Hadoop (HDFS, YARN), SQL and dimensional data modelling.
OSL Retail Services needs candidates with experience as a data developer, analyst, engineer or data scientist, strong SQL and ETL skills, and a computer science or related degree or equivalent experience. Strong analytical, communication and initiative skills are also required.
Candidates need experience as a data developer, analyst, engineer or data scientist, with strong SQL and data warehouse skills. A computer science or related degree and experience with Airflow, Spark, Python or R are also expected.
Apache Airflow, Apache Spark, SQL Server Reporting Services, SQL Server Integration Services, Python, R
10+ YOECandidates need at least 10 years of data engineering experience, advanced SQL, and strong PySpark and Python skills on Microsoft Fabric and Azure. Experience with data warehousing, Lakehouse architecture, CI/CD and Azure DevOps is also required.
Azure Data Factory, Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, Databricks, Azure DevOps
10+ YOECandidates need 10+ years of data engineering experience, advanced SQL, and hands-on work with PySpark, Python, Azure Data Factory and Microsoft Fabric. Experience with data warehousing, lakehouse design, CI/CD and Git is also required, and French is an asset.
Azure Data Factory, Microsoft Fabric, Azure Synapse Analytics, Azure Data Lake Storage, Databricks, Azure DevOps
6+ YOECandidates need 6+ years of data engineering experience, including 3+ years with Databricks and Apache Spark. Strong Python, PySpark, SQL and T-SQL skills are required, along with Delta Lake and Git experience.
Databricks, PySpark, Spark SQL, Delta Lake, SQL Server, Git
Candidates need strong experience with BigQuery, Dataflow, Teradata and Google Cloud Platform, plus advanced SQL and SAS migration experience. Experience building scalable, high-performance data solutions is also required.
BigQuery, Dataflow, Teradata, SAS, Google Cloud Platform
6+ YOECandidates need 6+ years of applications development or systems analysis experience, expert Scala and Python skills, and hands-on work with Spark, Databricks, Kafka and Delta Lake or Iceberg. A bachelor's degree or equivalent experience is required, and a master's is preferred.
Apache Spark, Databricks, Apache Kafka, Delta Lake, Apache Iceberg, Scala
6+ YOECandidates need 6+ years in applications development or systems analysis, expert Scala and Python skills, and advanced SQL tuning. Hands-on experience with Apache Spark, Databricks, Kafka and Delta Lake or Iceberg is required, along with petabyte-scale cloud data platform experience.
Apache Spark, Databricks, Kafka, Delta Lake, Apache Iceberg, Scala