Data Engineer Jobs in Canada

Fox Broadcasting seeks a Data Engineer to build scalable, high‑performance data systems. The role involves designing and automating ETL pipelines, optimizing data models in Databricks and Snowflake, and leveraging AWS services to deliver clean, reliable data for analytics and decision‑making.

Dentsu Media’s Data Engineering team drives business performance by turning advertising platform data into actionable insights. The Data Engineer designs, builds, and maintains cloud data pipelines in BigQuery, Redshift, or Snowflake, models campaign and spend data, and partners with analysts and ad‑ops to translate reporting needs into scalable data models.

Yolando Platform Engineering builds the backbone for AI-driven marketing solutions. The Data Engineer designs and maintains ETL pipelines on Databricks and Spark, implements medallion architectures, and creates event‑driven flows for real‑time analytics and LLM fine‑tuning.

Data Engineering team at Manulife builds and maintains scalable data pipelines and architecture to support analytics and business operations. The role designs, develops, and operates Azure Data Factory and Databricks pipelines, ensures data quality, governance, and collaborates with data scientists and analysts.

Data Engineer on Boeing Vancouver’s data science team, building cloud‑based pipelines that transform aviation data into actionable insights. Designs ingestion, cleansing, and data contracts, supports model features, and collaborates with aviation engineers and data scientists.

Venn is the fastest‑growing B2B fintech in Canada, building a modern digital banking platform for entrepreneurs. The Data Engineer owns Venn’s data infrastructure, creating reliable ETL/ELT pipelines, clean data models, and self‑serve analytics that power product, finance, risk, and growth decisions.

Data Engineer at Home Depot Canada builds scalable pipelines using Google BigQuery and Python to transform billions of retail data rows. Designs ETL processes, optimizes tables and views for dashboards, and integrates AI tools like Gemini and Vertex AI to automate workflows.

Data Engineer on the Group Benefits Product Data Analytics team at Manulife. Designs and builds scalable data pipelines, ensures data quality and lineage, and collaborates with business stakeholders to translate analytics needs into solutions.

Data Engineer III at Global Excel Management leads the design and optimization of scalable data pipelines, warehouses, and lakes using Snowflake, DBT, and Azure services. With over a decade of experience, the role focuses on architecting reusable data models, driving the technical roadmap, and enforcing data governance policies.

Design, build, and maintain end‑to‑end data pipelines, models, and infrastructure using PySpark, Spark SQL, T‑SQL, and cloud platforms such as Databricks, Snowflake, and Redshift. Implement AI‑driven automation for code generation, testing, and self‑healing pipelines.

Data Engineer (Business Intelligence) at Sapsol Technologies Inc. Works on SAP security design and implementation, leading development and testing of authorization profiles, and performing security reviews of SAP GRC Access Controls modules. Remote Canada, full‑time contract role with a focus on SAP security governance and client delivery.

Data Engineer on OMERS’ enterprise data platform, building Microsoft Fabric pipelines that ingest and transform both structured and unstructured data for analytics and AI. Designs Medallion‑style data models, implements OCR and document classification, and ensures auditability and governance across Dev/UAT/Prod environments. Hybrid role in Toronto, 4 days onsite per week, with remote flexibility.

Data Engineer role at Orennia focuses on building and maintaining robust data pipelines that power predictive analytics for the energy transition. The position requires deep expertise in Big Data concepts, data lakes, warehouses, and ELT strategies, along with strong relational and dimensional modeling skills.

Data Engineer at Thales Ottawa supports naval platform projects, building data foundations and pipelines. Works with analysts and stakeholders to design data architecture, implement ETL/ELT, data mapping, lineage, quality rules, and orchestration workflows.

Data Engineering team at the Ontario Securities Commission builds enterprise‑grade data pipelines to support regulatory analysis and market oversight. The role designs, implements, and optimizes large‑scale batch and streaming pipelines using Databricks, Azure Data Factory, and Synapse, ensuring data quality and governance across the organization.

Act Digital is seeking a Data Engineer to support a global pharmaceutical client on a major vaccine project. The role involves reviewing and validating data engineering designs, performing code reviews, and deploying solutions across AWS, Snowflake, DBT, Airflow, and Informatica IICS.

Data Engineering team at Virtusa focuses on building robust data pipelines and governance frameworks to enable reliable data access across the enterprise. The role designs, develops, and maintains data ingestion, transformation, and cataloging solutions using SQL, PySpark, and Python while integrating with Collibra and Informatica for data governance.

Join AmpleInsightInc’s data engineering team in Toronto, collaborating with top-tier engineers and data scientists from industry leaders. As a Data Engineer, you’ll design and build robust ETL pipelines, architect data schemas, and optimize performance across relational databases and Snowflake.

TheAppLabb seeks a Data Engineer to architect and maintain scalable data pipelines that power AI-driven applications. The role involves designing ETL/ELT workflows, optimizing data warehouses, and integrating diverse data sources via APIs, streaming, and batch processes.

A Data Engineer who turns raw data into actionable insights, building robust pipelines and ensuring data quality across on‑prem and cloud environments. Skilled in designing scalable ETL workflows, managing metadata, and collaborating with analytics teams to deliver clean, accessible data for business intelligence.