Top Data Jobs in Toronto

The role involves managing data concerns related to Canadian Personal Banking, focusing on data quality, governance, and compliance, while liaising with stakeholders to resolve data issues and support data lifecycle management.

The Data Engineer will design, develop, and maintain data pipelines, transform data, and support analytics for investment and client reporting in a cloud environment.

The Lead Data Support Analyst will oversee data workflows, troubleshoot data issues, lead a team, and maintain data health across reporting systems.

As a Senior Data Scientist, you'll develop and implement data science techniques, focusing on advanced analytics and GenAI solutions to drive business value.

The Data Extraction Specialist will create, maintain, and execute data mapping and extraction scripts for importing data into the CMiC database, while ensuring data accuracy and working with customers to resolve issues.

Design and maintain data pipelines and ML systems, implement MLOps practices, and collaborate with teams to address client challenges in AI and data projects.

The Data Governance Senior Lead Analyst leads the development and implementation of the Enterprise Data Governance Strategy, working with partners to establish data governance standards, manage compliance, and communicate complex data concepts effectively across teams.

The Senior Software Engineer will design and build scalable data and ML platforms, ensuring high-quality data flow while improving system efficiency and supporting internal teams.

The Master Data Expert oversees master data management, ensuring accuracy and consistency in enterprise data, while collaborating on data standards and governance.

The PHP Data Developer will design, develop, and maintain data processing tools and ETL pipelines, while collaborating with a team and ensuring code quality.

The Director of Data Governance & Strategy leads the development and implementation of data governance frameworks, ensuring data integrity, compliance, and strategic asset management across CI Global Asset Management.

As a Data Developer, you'll maintain and design data systems for billions of events daily, build ETL pipelines, optimize data warehouses, ensure data quality, and collaborate with teams to enhance customer acquisition and product performance.

The Senior Data Analyst will enhance products, conduct data analysis, and create reporting solutions, collaborating cross-functionally to drive data-informed decisions and promote a data-driven culture.

The Senior Data Analyst will lead analytics solutions development, manage dashboards, perform media attribution and ROI analysis, and translate complex data into actionable insights.

Build scalable ML data pipelines for Waabi's autonomous driving platform. Design, optimize, and manage datasets and training processes while collaborating with scientists and engineers.

Lead multiple workstreams to modernize cloud data platforms using Agile practices. Collaborate across teams, manage risks, and ensure successful project delivery.

As a Data Analyst, you'll analyze and validate data from Snowflake, develop PowerBI dashboards, and support data-driven decisions through collaboration and documentation.

The Senior Data Engineer at Lyft will enhance data processing, develop data models, monitor data quality, and collaborate across teams to improve mapping experiences.

The Applied AI Specialist will design and maintain data pipelines for ML, prepare datasets, collaborate with AI engineers, and ensure data reliability for AI applications.

Lead the delivery of cloud data platform initiatives, manage multiple Agile workstreams, and ensure successful project execution across technical and business teams.

Lead the design, development, and delivery of enterprise data engineering solutions while managing project timelines and fostering knowledge sharing in data engineering practices.

The Staff Data Scientist will lead data science projects, develop machine learning models, and align solutions with business goals while mentoring team members.

As a Data & Integration Engineer, you'll design and build integrations for ERP and CRM systems, ensuring reliable data flows and collaboration with cross-functional teams.

The Lead Data Scientist will develop marketing mix models, automate data workflows, and communicate insights to enhance marketing effectiveness for clients.

Lead strategic initiatives for Project & Pipeline Analytics and External Data Solutions. Oversee product development and manage teams to enhance AI-driven decision-making in R&D.