As of November 6, 2026, Jobsy lists 11 data engineer jobs in Montréal, QC. 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 strong SQL skills, knowledge of structured and semi-structured data, and an understanding of cloud data engineering. Strong troubleshooting, communication and documentation skills are also required.
5+ YOECandidates need 5 to 10 years of data engineering experience, advanced SQL and Python skills, and hands-on experience with Azure Data Factory, Databricks, Data Lake Storage and Synapse. Bilingual French and English is required.
Azure Data Factory, Azure Databricks, Azure Data Lake Storage, Azure Synapse Analytics, Python, SQL
Candidates need a bachelor's degree in computer science, IT or a related field, and proven data engineering experience. Strong SQL, Python, Java or Scala skills, and familiarity with big data and cloud platforms are required.
Confluence Technologies: Confluence is a global technology solutions provider helping the investment management industry solve complex investment data challenges.
Candidates need solid Python experience in data engineering, advanced SQL and hands-on Snowflake experience, and experience running production ETL pipelines at scale. They also need cloud exposure (AWS, Azure or GCP) and the ability to own work from design through deployment and monitoring.
6+ YOECandidates need 6+ years of data or backend engineering experience, 2+ in a senior or lead role, and a Bachelor's degree in Computer Science or equivalent. Expert SQL, strong Python, and experience with cloud platforms, lakehouses, dbt and orchestrators are required.
7+ YOECandidates need a bachelor's degree in a related field, at least seven years of data engineering experience, and strong Python, PySpark and SQL skills. Strong Azure and Databricks experience, bilingual ability (BBB) and a Secret clearance are required.
Azure Databricks, Azure Data Factory, Azure SQL, DB2, Git
Pomerleau: It specializes in building, infrastructure, and civil engineering sectors, undertaking major projects through alternative delivery methods.
Candidates need senior data engineering experience, hands-on Microsoft Fabric skills and the medallion architecture. Strong SQL, Azure DevOps and Git, and an understanding of semantic models and dashboards are also required.
Microsoft Fabric, Azure Synapse, Azure DevOps, Git, Microsoft Purview, dbt
5+ YOECandidates need at least 5 years in software or data engineering, client-facing and pre-sales experience, and strong Python or PySpark skills. Palantir Foundry experience is a plus, and LLM or GenAI experience is valued.
Tecsys Inc.: Tecsys is a global provider of transformative supply chain solutions that equip growing organizations with industry-leading services and tools to…
Candidates need hands-on Databricks and Apache Spark experience building batch or streaming pipelines, strong Terraform skills on AWS, and working knowledge of Kubernetes, Helm and Docker. They also need Python (PySpark) or Java, strong SQL, Git-based CI/CD experience, and fluent written and spoken English.
5+ YOECandidates need a bachelor's degree in computer science, engineering or a related field and 5 to 10 years of data engineering experience. They must be fluent in Python, SQL, AWS data services, dbt and lakehouse patterns, and be fluent in English and French.