Top Data Jobs in Toronto

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

As Operations Lead, oversee delivery excellence in Digital R&D Data and AI platforms, ensuring strategy alignment, value delivery, and performance monitoring.

Seeking a Senior Data Scientist to lead data science initiatives, drive machine learning strategies, implement data solutions, and collaborate with cross-functional teams to enhance programmatic efficiency.

The role involves designing and validating data and AI architectures, collaborating with customers, and ensuring scalable, secure solutions are implemented in enterprise environments.

The Product Data Lead coordinates daily Product Data activities, ensuring quality execution of workflows, training staff, and improving SOPs. This hands-on role involves data extraction and quality checks, focusing on operational delivery and process improvements.

The Senior Data Engineer designs and manages data pipelines, partners with stakeholders to translate business needs, and enforces engineering standards while mentoring teammates and ensuring data governance.

Part-time junior data analyst analyzing and interpreting complex datasets, creating reports and visualizations, performing data cleaning and transformation, and collaborating with cross-functional teams to inform decisions.

Develop and maintain machine learning platforms and generative AI applications, enrich big data, ensure infrastructure health, and support data integration with internal teams.

The Senior Data Engineer will scale the data ecosystem, construct data models, build systems for KPI tracking, and ensure data safety.

The Director of Data Engineering leads the enterprise data platform strategy, ensuring scalability and reliability across business units, while enhancing data practices and overseeing reporting platforms for effective decision-making.

As a Data Scientist II, you will build and deliver data science solutions, validate models, support teams, and communicate insights to stakeholders.

The Senior Data Scientist will optimize algorithms and employ advanced analytics for pricing in the supply chain, collaborating with teams and driving innovation.

Lead design, development, testing, implementation and support of data and AI products. Translate business requirements, provide technical direction, mentor developers, build automation and frameworks, improve delivery processes, and perform data analysis, profiling and regression testing.

The Senior Data & AI Solution Architect designs and governs data and AI solutions, supports teams in implementation, and ensures alignment with enterprise standards and operational readiness.

As a Sr. Data Engineer, you'll design and manage data pipelines, enhance data quality, and leverage AI to streamline operations, driving the success of our AI growth platform for real estate.

Designs and maintains scalable data pipelines and cloud data platforms, implements ETL/ELT and warehousing solutions, supports batch and streaming data, applies data governance and quality, integrates AI/GenAI capabilities, and collaborates with stakeholders to deliver analytics and data-driven insights.

Lead enterprise data strategy and roadmap, own intake/prioritization and activation models, align data/AI investments to business outcomes, chair decision forums, lead a leadership team, and drive platform adoption, change management, and cross‑functional alignment with IT, Data Engineering, Data Science, and Governance.

Build, own, and evolve Flinks' data and ML platform: BigQuery/dbt pipelines, Airflow ingestion, Kubeflow/Vertex training, model serving, governance, observability, and cross-team data contracts to support production ML and analytics at scale.

Lead enterprise data strategy and roadmap, establish intake and prioritization for data and AI investments, direct trade-off decisions, develop leadership team, and drive adoption of shared data platforms and standards.

The Senior Analyst - Data Governance is responsible for executing data governance policies, overseeing the Data Governance Council, managing data quality frameworks, and collaborating with data engineering teams.

Own and ship production ML models end-to-end: problem framing, model design, training pipelines, deployment to served endpoints, and model-quality monitoring. Design experiments, detect drift, run champion-challenger evaluations, and partner with Data Engineering, backend, product and QA to integrate model outputs that drive business outcomes in fintech.

The Lead Data Engineering Developer leads the design and development of data solutions, focuses on data quality, implements complex data pipelines, and mentors juniors.

The Senior Data Strategist will manage customer data governance, define strategies, and collaborate across departments to improve data quality and usability.

Lead Full Stack Data Engineer responsible for architecting, developing, and optimizing data solutions, mentoring teams, and driving AI integration in data processes.

Develop and maintain full-stack applications for Fixed Income trading and risk management, collaborating with traders and analysts for innovative solutions.