Top Data Jobs in Toronto

The Director of Data Engineering will lead the engineering team in building a scalable data platform, ensuring data quality and compliance, while collaborating with various stakeholders to enhance analytics capabilities.

The Senior Data Scientist will optimize algorithms, apply data science techniques for supply chain and replenishment, and collaborate across teams to drive solutions.

Lead full-cycle recruiting for data and machine learning roles, partnering with hiring managers, designing sourcing strategies, mentoring recruiters, and promoting inclusive hiring practices.

The role involves QA testing in Data Warehousing/Business Intelligence, executing ETL jobs, maintaining SQL queries, and data validation.

The Data Architect at Ciena is responsible for developing scalable data architectures, managing data governance, and collaborating across teams to enhance data integration and AI capabilities.

As Tempo's first data engineer, you'll design and build data infrastructure, develop ETL pipelines, and optimize data systems for blockchain analytics.

The Data Scientist will design and implement AI solutions, lead technical initiatives, collaborate with teams, and enhance customer adoption of AI/ML tools.

As a Data Scientist at Sardine, you'll design and deploy data-driven solutions to prevent fraud, collaborating with clients and engineering teams to build and optimize machine learning models.

The role involves leading the design, development and implementation of software projects, mentoring developers, and driving innovation in Autodesk's AEC data services.

The Data Engineer at Butter Payments will architect data systems, ensure high-quality data ingestion and transformation, and collaborate with ML teams to optimize workflows.

As a Staff Data Lake Engineer, lead the development of an enterprise data platform, mentor junior engineers, and ensure technical execution in data architecture and strategy while collaborating across teams.

Lead the design and development of scalable data acquisition systems, mentor engineers, and integrate diverse internal and external data sources. Architect platform components for high-volume data processing with a focus on reliability and governance.

Design and implement data ingestion pipelines, develop reusable components, support observability, and partner with data consumers to enhance data integration.

As a Senior Staff Software Engineer, you will architect data models and systems, ensuring data integrity and consistency for enterprise use, while collaborating with various teams.

The Product Owner manages Central 1's Payment Data Team, enhancing data services, guiding agile teams, and ensuring data governance while communicating with stakeholders and supporting data onboarding.

The Senior Data Engineer at League will develop and support data services and software products, ensuring performance and security of data infrastructure while collaborating with cross-functional teams.

The Data Analyst will analyze trends, design experiments, maintain dashboards, and enhance game integrity using data-driven insights to improve the player experience.

Lead the Listing Quality pod to improve product listings using machine learning, guide junior Data Scientists, and develop strategies.

Lead and mentor a team of engineers, guide product direction, foster team growth, and ensure quality deliverables in performance monitoring tools.

As a Design Engineer on the Performance Team, you'll develop features focused on user experience and performance within Sentry's applications, collaborating with design and engineering teams to implement changes across the codebase.

The Head of PT Data Acceleration leads Roche's data strategy, manages a team, and drives a data-first culture in Pharma Technical Operations.

The Head of PT Data Engineering leads data product management, oversees implementation and adoption of data products, and aligns with Roche's digital strategy.

The Staff Data Scientist will develop predictive models, optimize supply and demand, perform testing, and mentor junior data scientists using advanced data science techniques.

As a founding Data Scientist/Machine Learning Engineer, you'll develop AI/ML models, enhance product capability, and drive impactful user outcomes while working closely with product teams.

The Senior Data Engineer will design and maintain data pipelines and models, optimize Snowflake, and ensure trusted datasets for analytics and reporting.