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QA Automation Engineer designing and maintaining automated testing solutions for APIs, integrations, and data platforms in an Agile, cloud-enabled insurance environment.
Senior Developer in Data Engineering role focusing on data stack modernization, migrating from traditional ETL tools to cloud-native ELT stack using AWS, Python, Airflow, DBT, and Snowflake. Responsible for data modeling, data quality, and building scalable data pipelines.
Arc'teryx in North Vancouver is seeking a Manager, Data Engineering to lead our data platform team. You will guide architecture for Databricks, data ingestion and QA frameworks while mentoring engineers and…
Winter 2027 data engineering intern at IG Wealth Management supporting the Finance, Data and Reporting team by designing data loading jobs, generating reports, and applying AI to improve workflows in a hybrid setting.
Winter 2027 intern supporting enterprise Windows-based applications at a Canadian wealth management firm, focusing on application stability, upgrades, monitoring, and identifying automation opportunities.
Leads a data engineering team managing Databricks, ingestion, and QA frameworks to build/reliably scale data infrastructure for analytics and business decisions.
Build and maintain data pipelines and dimensional warehouses in SQL/PL-SQL to feed analytics teams with clean, secure data from multiple sources.
Senior Data Engineer on a 6-month hybrid contract modernizing the data stack, migrating from ETL tools to a cloud-native ELT pipeline on AWS using Python, Airflow, DBT, and Snowflake.
Designs scalable, secure cloud databases and data models for Hamilton ETFs’ SaaS tools, enabling AI features like lead scoring and semantic search in financial datasets.
Senior Data Engineer leading the data warehouse, pipelines, and semantic layer at ZenaTech, unifying acquired companies' data using cloud warehouses (Snowflake/BigQuery/Redshift/Databricks) and dbt.
Builds and scales Python-based AI pipelines and data infrastructure for production ML systems, optimizing data access and reliability.
Senior Data Engineer at National Bank of Canada building and optimizing big data pipelines for risk analytics, working with SQL, Spark, and Snowflake in a hybrid role.
Build and deploy AI/ML solutions end-to-end: design MLOps pipelines, automate cloud infrastructure, and operationalize models in production using Python, Docker, and cloud platforms.
Lead Data Engineer at RBC's Global Functions Technology designing and developing scalable data pipelines and infrastructure for the Enterprise ESG framework, using Hadoop, Spark, Python, Scala, and Hive.
Lead Data Engineer driving large-scale data processing and analytical platforms for climate solutions at RBC, designing scalable solutions across on-premise and cloud environments while leading a team and collaborating with data scientists and software engineers.
Lead Data Engineer designing, developing, and optimizing enterprise data solutions, ensuring pipeline and API reliability using cloud, Python, and Databricks.
Hands-on MLOps & Data Engineer maintaining and extending the Python framework and data foundation behind production ML systems, working with SQL, multiple database/storage approaches, CI/CD, and containers at a cybersecurity company.
Design and optimize scalable ETL pipelines and data architectures using Microsoft Fabric and Azure to enable analytics and reporting across the organization.
Associate Data Platform Administrator supporting data and analytics platforms in cloud-based environments at a government export finance agency, using Azure DevOps, CI/CD, and Git.
Build and maintain e-commerce and content websites, optimize performance, and develop APIs for external platforms using WordPress, WooCommerce, React, Node.js, MySQL, and AWS.
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