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Senior Data Engineer – Cloud-Native Pipelines Snowflake AWS
Builds and maintains scalable cloud-native data pipelines in Snowflake/AWS, focusing on ETL/ELT, data modeling, and quality for a 6-month contract role.
Senior Quantitative Data Engineer — Investment Analytics
Builds and scales cloud-based data products for investment analytics, bridging financial expertise with data engineering to improve portfolio management, risk assessment, and research workflows.
IS Data Engineering Student
A student builds and maintains data pipelines (ETL/ELT) using Databricks (PySpark, SQL, Delta Lake) to extract, transform, and load data for analytics and reporting, collaborating with data scientists and analysts to deliver scalable solutions.
Senior Developer, Data Engineering – 6 Months Contract
Leads data stack modernization by migrating SQL Server models to Snowflake/AWS cloud, building scalable ELT pipelines with Python, Airflow, and DBT, ensuring data quality, and collaborating with stakeholders to deliver analytics solutions.
Analytics Engineer
Build and maintain dbt-powered data models in Snowflake to support financial close and POS/payment reporting for a large Canadian enterprise.
Senior Market Data Engineering Lead, Capital Markets Tech
Leads design, integration, and management of market/reference data feeds for Scotiabank’s Asset Control Platform, ensuring data quality, compliance, and collaboration with vendors like Bloomberg and LSEG to support trading, risk, and analytics.
Senior Manager, Market Data Engineering (Capital Markets Technology
Senior Manager designs and leads market-data pipelines for a bank’s trading, risk, and analytics systems, integrating vendor feeds (Bloomberg, LSEG) and internal sources while ensuring data quality and governance.
Data Engineer
Design and build scalable data pipelines and platforms using Azure Fabric, Databricks, and Snowflake to support analytics and decision-making for global clients.
Lead Data Engineer
Lead the design and hands-on build of RBC’s AWS-based AML data platform using Snowflake, Spark, and dbt, mentoring engineers and owning medallion pipelines, IaC, and security.
Lead Data Engineer
Lead a team building and optimizing scalable, cloud-based data platforms and pipelines for Ontario’s property assessment agency, focusing on data architecture, governance, and AI-driven analytics to support operational and reporting needs.
Senior Data Engineer
Build and optimize scalable data pipelines and warehouses in Snowflake, using dbt and CI/CD to deliver clean, reliable financial data for analytics and reporting.
Senior Fabric Data Engineer
Designs and implements scalable data pipelines using Microsoft Fabric to migrate, transform, and curate data for analytics, compliance, and reporting, focusing on ingestion, business rules, and downstream integrations.
Data Platform Engineer
Build and own a greenfield enterprise data platform using Snowflake, Python, and modern ELT pipelines to power analytics and AI for Race Roster’s health and fitness products.
Senior Data Engineer, GFT
Builds and maintains scalable data pipelines, feature stores, and MLOps solutions for RBC’s AI-driven underwriting in retail credit, focusing on cloud (AWS/Azure) and on-prem infrastructure to enable rapid ML model deployment and governance.
Lead Data Engineer - Cloud Data & Enterprise Platforms
Lead a team to design and implement scalable cloud data solutions for Ontario’s property assessment systems, enabling analytics and AI initiatives.
Data Engineer III, Tim Hortons, Canada
Builds and maintains scalable data pipelines and platforms using Python, Apache Spark, AWS, and Snowflake to process large datasets and enable business analytics for a global QSR brand.
Fullstack Developer
Develops full-stack applications on Azure WebApps using Angular/React, integrates data pipelines with Azure Databricks, and manages microservices with Docker/Kubernetes. Focuses on CI/CD automation and cloud infrastructure as code.
AI Architect
Design and build AI-powered features for a cloud-native test automation platform, leveraging LLMs and GCP to analyze test and production data, generate insights, and automate failure analysis.
ETL Developer – Real-Time Data Pipelines (GoCore)
Designs and optimizes ETL pipelines and real-time data processing for customer master data integration, using GoCore Platform tools.
GCP Data Engineer: BigQuery, Airflow & CI/CD Expert
Designs and builds scalable GCP-based data pipelines using BigQuery and Airflow, with CI/CD for reliability.