Top Data Jobs in Toronto

Lead data and AI transformation programs, partnering with executives to define strategies and deliver modern data platforms and solutions, while driving business growth and ensuring excellence.

The role involves designing and optimizing core database components, including storage and query engines, while ensuring system reliability.

Lead data engineering efforts, manage ETL pipelines, ensure data integrity, collaborate with BI, and drive strategic growth with data-driven insights.

Lead scalable data engineering efforts to build efficient ETL processes and provide reliable data to multiple business units. Collaborate with cross-functional teams to enhance data quality and support analytics and business intelligence initiatives.

The Associate Director will oversee data strategy and analytics, manage client relationships, and lead a team of analysts to drive data-driven marketing solutions and insights for clients, particularly in retail and digital media.

In this role, lead the development of scalable data engineering solutions, optimize ETL processes, and enhance data integrity for cross-functional teams, ensuring robust analytics support for company growth.

Lead data engineering efforts by building scalable ETL processes, managing data lakes, and collaborating with BI and analytics teams to enhance data-driven decision-making.

Lead the strategy and execution of Beacon's data platform, integrating technology stacks and developing AI-powered workflows to support BD and M&A functions.

Lead a team to deliver analytics solutions, transforming data into actionable insights, building AI/ML models, and collaborating across business units to drive analytics adoption.

Lead performance diagnostics, build analytics solutions, deliver insights using AI/ML, and mentor stakeholders in data-driven decision making.

The Data Engineer II will perform data engineering functions such as data modeling, ETL, and data quality management while collaborating with various teams and maintaining compliance with data standards.

The IT Data Specialist provides technical leadership in data analysis including data modeling, ETL, reporting design, and ensures data quality management, collaborating with business and technology partners.

Lead end-to-end analytics for business decisions using data insights and AI/ML. Collaborate with cross-functional teams to build scalable solutions and drive advanced analytics adoption, delivering actionable insights and compelling visualizations.

The role involves designing and implementing a data and ML platform, optimizing data ingestion, and driving ML workflows, ensuring scalability and reliability.

The Senior Data Quality Analyst will enhance data quality in the organization through analysis, collaboration with stakeholders, and implementation of data governance strategies.

The Staff Data Engineer will design and maintain scalable data pipelines, lead a team of engineers, and ensure data integrity and governance at Jobber.

Seeking a Full-stack Software Developer Specialist to design and deliver scalable applications, focusing on data engineering with Python and Databricks. Key responsibilities include developing data pipelines, implementing APIs, testing, and collaborating within a team structure.

Design and maintain data pipeline architecture, manage AWS services, optimize data systems, and ensure efficient ETL operations across various data sources.

Lead and mentor a distributed data engineering team, ensuring reliable customer data integrations and optimizing SQL workflows for analytics and automation.

As a Senior Engineer on the Data Platform team, you will design and build data pipelines and optimize storage systems to enhance analytics and machine learning capabilities.

The MDM Developer will implement and support enterprise master data solutions on Informatica IDMC, collaborate with data teams, optimize data capabilities, and ensure data quality.

As a Data Engineer, you will manage data pipelines, optimize data models and ETL processes, and collaborate across teams to enhance data-driven decision-making for Lyft's Urban Solutions.

The Data Engineer will provide technical support and deployment expertise, review data designs, and ensure code quality while collaborating with international teams on a strategic data initiative.

The Senior Product Data Analyst will analyze data to support product development, present insights, and drive data-driven decisions for marketing campaigns.

As a Data Annotation Specialist, you will label, audit, and optimize data for AI models in Chinese while ensuring high accuracy and quality. You will perform repetitive tasks and collaborate with teams, providing feedback and recommendations for data improvement.