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Staff Engineer - Data Engineering Staff
Capital One is hiring a Staff Data Engineer in Toronto to act as a tech lead, owning technical design and development of cross-functional, multi-platform, fault-tolerant data systems for banking. Core stack: 6+ years with Python/Java/Go, AWS (preferred) or Azure/GCP, plus data design, modelling and architecture.
Staff Data Platform Engineer
Hands-on staff-level technical lead on Loblaw's Retail Media Platform team in Toronto, designing large-scale batch, streaming, and analytical data pipelines on cloud platforms using SQL plus Python, Scala, or Java, while mentoring engineers and leading cross-team design reviews.
Senior Data Engineer — Hybrid Toronto with Equity
Senior Data Engineer at Clutch Canada (hybrid in Toronto) owning the data platform end-to-end: designing scalable warehouses, pipelines, and data models that power pricing, funnel insights, and financing decisions. Core stack is Snowflake, dbt, Airflow, Python, and AWS, working closely with analysts and data scientists.
Staff Data Engineer - Retail Media Platform
Staff Data Engineer on Loblaw's Retail Media Platform team, leading hands-on design of large-scale data platforms, pipelines, and backend services powering measurement, reporting, analytics, and AI features. Core stack includes SQL, Python/Scala/Java, cloud data platforms (GCP: BigQuery, Dataproc, Airflow), Spark, and Kafka.
Senior Data Engineer — Snowflake, dbt & Dagster Expert
Senior Data Engineer designing scalable Snowflake data models and robust ELT/ETL pipelines for a Canadian financial-sector client, building modular dbt pipelines, orchestrating workflows with Dagster or Airflow, and writing Python for data functions and monitoring.
Lead Cloud Data Platform Engineer
Lead data platform engineer at Ipsos in Vancouver, expanding the Ipsos DataHub by architecting and delivering production-grade cloud data pipelines on GCP using Python, SQL, BigQuery, and GCS, with CI/CD, infrastructure as code, incident response, and mentoring of data engineers.
Senior Power Systems Data Engineer
Senior engineer/analyst on AESO's Grid Analytics team in Calgary, combining data engineering, business intelligence, and Python development to build BI platforms, visualizations, and market simulation tools supporting Alberta's power grid operations, planning, and reliability.
Senior Cloud Data Engineer
Senior data engineer building and optimizing cloud-based data pipelines and cost-efficient warehouses on Google Cloud (BigQuery, GCS) for Ipsos DataHub, using Python and SQL, plus serverless design, production migration, and AI/LLM-based tooling.
Senior Data Engineer (Modern Data Stack) [Only Canada]
Tekton Labs, a technology outsourcing company, is hiring a Senior Data Engineer to collaborate with a Canadian financial-sector client. Day to day: designing Snowflake data models, building dbt ELT pipelines and Dagster/Airflow orchestration, writing Python/SQL, and managing AWS/Azure infra with Terraform and GitHub Actions CI/CD.
Director of Data Engineering
Director-level leader who owns Alpaca's data engineering strategy and roadmap on-site in Canada, managing leads and delivering data platforms for Finance, Sales, Product, Compliance, and Customer Success, while staying hands-on with Python, SQL, dbt, cloud infrastructure, and AI-powered analytics in financial systems.
Senior Data Engineer Toronto
Senior Data Engineer owning Clutch's end-to-end data platform at Canada's largest online used-car retailer — building reliable ELT pipelines, warehouse models, and DevOps/observability practices with Snowflake, dbt, Airflow, Python, and AWS to power analytics, pricing, and financial services. Hybrid role, three days a week in downtown Toronto.
Senior Azure Data Engineer
Senior Associate Azure Data Engineer at PwC in Toronto: designs and builds scalable data ingestion, transformation, and curation pipelines on Azure using Data Factory, Databricks, and Synapse. Applies SQL, Python, and ETL/ELT expertise, with data quality checks, monitoring, and collaboration with scientists, analysts, and business stakeholders.
Senior Data Engineer/Data Architect at Oshawa
Senior Data Engineer at Ontario Power Generation in Oshawa builds and supports ELT/ETL pipelines, data lake and data warehouse products for reporting and analytics, using the Azure stack (Data Factory, Synapse, Databricks) plus Python, Spark and SQL, with CI/CD, data governance and production support duties.
MLOps / Data Engineer
MLOps/Data Engineer on Triton Digital's listener data team, productionizing machine learning for audio-advertising audience signals: building CI/CD pipelines for ML workflows, optimizing large-scale data processing with Apache Spark, and managing Databricks environments. Core stack is Python, Spark, Databricks, and cloud platforms. Must be based in Ontario or Quebec.
Senior Data Engineer – Data Lake & Analytics
Senior Data Engineer at Ontario Power Generation building and supporting data lake and data warehouse products that power analytics and digital experiences. Day to day involves developing and optimizing data pipelines with Python, PySpark, and SQL on the Azure stack within a Scrum team, with emphasis on data security, governance, and quality.
Senior Data Engineer
Senior Data Engineer on Ipsos' DataHub team in Vancouver: builds, optimizes, and troubleshoots cloud-based serverless data pipelines and warehouses for large-scale datasets, using Python, SQL, and GCP (BigQuery, GCS) with some AWS, and drives code migrations to production. Salary CAD 100k-110k.
Data Engineer
ML/AI-focused data engineer who designs, trains, validates, and deploys machine learning models, builds supporting data pipelines, and runs end-to-end MLOps workflows in cloud environments. Core stack: Python, TensorFlow/PyTorch/Scikit-Learn, SQL, and AWS/GCP.
Lead Data Engineer
Lead Data Engineer on Ipsos' DataHub team in Vancouver: architect, design, and operate cloud-based serverless data pipelines and warehouses on GCP (BigQuery, GCS) for large-scale datasets, while providing hands-on technical leadership, mentoring, and SRE-style production reliability for the data platform.
Senior Data Engineer, Analytics
Senior data engineer owning CMLS Commercial's analytics data platform in Microsoft Fabric: designing ELT pipelines from SQL Server, Azure SQL and REST APIs, building dimensional models and Power BI semantic models, and migrating Azure Data Factory pipelines and legacy SSRS reports to Fabric with CI validation via Azure DevOps.