Top Data Jobs in Toronto

As a Data Engineer, you will develop data infrastructure, build data pipelines, and ensure data quality while supporting data-driven decisions.

The role involves analyzing, designing, and delivering secure data pipelines, leadership in data engineering practices, using Agile methodology, and collaboration with analysts and architects.

As a Lead Business Consultant, you'll implement SimCorp One® for clients, coordinating project streams, ensuring best practices, and acting as a key contact throughout projects.

Lead the execution of data strategy for the PT department at Roche, managing data products and governance while ensuring data quality and integration across teams.

The Senior AI Data Engineer will design and implement AI agents, develop scalable systems, integrate machine learning models, and collaborate with cross-functional teams to enhance AI capabilities and automate tasks.

Analyze credit card portfolio performance, develop ECL models, conduct data analysis, and communicate insights to stakeholders.

The Data Analyst will enhance digital experiences through data analysis, implementing personalization strategies, and monitoring performance indicators.

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

The Big Data and SQL Developer is responsible for designing and implementing scalable Big Data solutions, mentoring engineers, and engaging with stakeholders, balancing technical tasks with leadership duties.

Lead technology initiatives in data lifecycle management, drive technology vision and architecture, and serve as a mentor within Equinix and the industry.

As a Marketing Data Analyst Intern, you will analyze data from digital channels to enhance campaign performance, optimize conversion rates, and provide actionable insights.

Responsible for developing infrastructure for ML models, data pipelines, leading teams, ensuring compliance, and driving continuous improvement in data engineering practices.

The BI Senior Business Analyst gathers and documents requirements, supports BI projects, and coaches team members in collaboration with various stakeholders.

Develop and implement data integration solutions for Market Risk applications, focusing on ETL processes and data pipelines to support risk analytics.

As a Data Engineer, you'll design, build, and maintain data pipelines, ensure data quality, and collaborate with stakeholders to deliver data solutions.

The role involves reviewing and auditing AI-generated Java code evaluations by annotators to ensure adherence to quality standards.

Join an AI-driven research project as a Frontend or Fullstack Developer, designing user-friendly features and delivering polished interfaces.

The Code Reviewer will audit SQL evaluations, ensure correctness and adherence to prompts, provide QA feedback, and collaborate with teams.

As a Senior Fullstack Engineer, you'll develop and maintain core data browsing features, collaborate with teams, and mentor engineers while contributing to the Sentry stack.

As Director of Data & Insights, you'll lead efforts to define and implement the data and AI strategy, managing a multidisciplinary team to enhance data capabilities and ensure secure data flow within the company and with clients.

The Senior Data Scientist II will analyze complex data sets, develop machine learning algorithms, and collaborate with teams to enhance business decisions.

The Data Engineer will architect and implement advanced analytics capabilities while dealing with large datasets and building data processing pipelines.

Seeking an experienced Data Engineer to design and maintain data pipelines and infrastructure, collaborating with data scientists and stakeholders.

The Senior Data Developer will design and maintain pipelines, optimize ML models, and support scheduling intelligence for healthcare appointments.

Responsible for driving innovative data initiatives, managing end-to-end data projects, engaging stakeholders, and promoting continuous improvement within the Data Strategy team.