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Senior Data Platform Engineer & AI Lead
Lead the design and build of a new data engineering platform for Tangerine (Scotiabank's banking brand), supporting analytics and production ML workloads on modern cloud platforms. Day to day: architect secure, scalable data pipelines, mentor engineers, and partner with data scientists and product teams.
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.
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: Governance, AI Readiness & Platform
Senior Data Engineer at CarePartners who leads governance, architecture, and integration of the enterprise data environment — designing scalable data pipelines and models across clinical, operational, and financial data to enable analytics and AI, while ensuring data quality, security, and regulatory compliance.
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 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.
Principal Data Engineer
Principal Data Engineer at Tangerine (Scotiabank's digital bank) in Toronto: leads the design and hands-on build of a new data engineering platform enabling business analytics and production AI/ML. Core focus on data pipelines, warehousing, and cloud platforms (GCP, AWS, Azure), plus technical leadership and mentoring.
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 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
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.
Full Stack Engineer
Builds and maintains full-stack applications that Manulife's customers and advisors rely on, taking features from design through coding, testing, and production support. Core stack: Java or TypeScript/Node.js with Spring Boot or NestJS/Express, React front ends, SQL Server/Azure SQL, Docker, and Microsoft Azure.
Senior Backend Engineer - Go/C++ & Distributed Systems
Senior backend engineer at Cisco in Toronto owning edge-processing and real-time data pipeline services that handle petabytes of data across hybrid environments. Day-to-day centers on Go/C++ distributed systems work: designing, building, testing and deploying scalable services, plus system design leadership, code reviews, and on-call.
Software Engineer (Java / Python)
Individual-contributor software engineer at Scotiabank in Toronto who designs, develops, and supports enterprise banking applications and data pipelines — leading technical design, building APIs and batch/real-time integrations, and troubleshooting production issues. Core stack: Java, Spring Boot, SQL, Python, Angular, Kafka, NiFi.
Sr. Analytics Engineer (X)
Build and maintain scalable data pipelines and quantitative models to power AI-driven decision-making using Python, SQL, and distributed systems like Spark.
SQL Developer (Senior)
Senior SQL developer on the Data Analytics team who builds, maintains, and optimizes the company's Operational Data Store and other data platforms — writing complex SQL and stored procedures, supporting ETL data pipelines, and tuning database performance. Core stack: expert SQL plus Python/Scala scripting.
Senior/Staff Data Scientist
Design and develop ML classification algorithms for EEG-based seizure detection in acute care settings, using time-series analysis and biomedical signal processing.