Top Python Jobs in Toronto

The Senior Manager of Data Engineering leads a team in developing data and AI products, guiding architecture and design, and ensuring process improvements while managing stakeholder expectations and technical implementation.

Lead design, development, and implementation of analytics and reporting solutions. Clean, transform, model, validate and automate data and models; build dashboards and reports; measure business impact; promote self-serve analytics; collaborate with stakeholders and provide training and documentation.

Lead technical strategy and hands-on implementation of Autodesks cloud platform and Internal Developer Platform. Architect AWS/EKS-based, IaC and GitOps-driven platforms, improve developer productivity via self-service paved roads, drive observability, SRE and security-by-default, and integrate AI-enabled platform services (LLM APIs, RAG, agentic workflows). Provide architecture reviews, mentoring, and cross-functional technical leadership.

Lead technical QA efforts: design and maintain Selenium-based automation frameworks, validate ETL/data pipelines and dashboards, test UI/API/microservices, run performance tests, and implement scalable QA practices and test artifacts across data-processing platforms.

Lead automation and operations for infrastructure and software delivery: forecast and provision resources, build and maintain CI/CD pipelines, manage containers and orchestration, implement security and vulnerability remediation, configure monitoring/logging, automate manual processes, and collaborate with cross-functional teams to ensure reliable, scalable, and secure application deployments.

Design, develop, and deliver secure mobile applications and components for Android using Java, C/C++, and Python. Collaborate in Agile teams, contribute to architecture and CI pipelines, apply empirical analysis, and help mitigate cybersecurity threats for enterprise and government customers.

The Senior Software Developer will design, build, and maintain backend services for record management and data enrichment, while mentoring other developers and collaborating across teams.

The role involves designing and implementing AI features, building APIs, participating in code reviews, and ensuring software scalability and reliability.

The Senior Software Developer will design and build scalable APIs and distributed systems, improve operational efficiency, and mentor other engineers, focusing on automation and data infrastructure.

The DevSecOps Engineer will lead security initiatives by implementing security controls, automating workflows, mentoring juniors, and collaborating with teams on security best practices.

Develop, test, and support cloud-native application components focused on analytics and metadata governance. Implement integrations (APIs, batch/event processing), ensure operational readiness (observability, incident response), apply DevOps/automation practices, and collaborate across product, engineering, security, and governance teams to deliver production-ready solutions.

Design, build, test and support cloud-native backend services, APIs and data flows for EDMO Data Catalog. Deliver scalable, observable, secure solutions, contribute to automation, code quality, and AI-assisted engineering within enterprise guardrails, and support incident resolution and operational readiness.

The Vice President, Data Scientist will develop and implement machine learning models to enhance algorithmic trading strategies and provide data-driven insights for Investment Banking and Corporate Banking.

Lead QA activities for a healthcare data modernization program: design and execute automated UI and API tests, validate HL7 FHIR R4 resources and v2-to-FHIR mappings, build and maintain automation frameworks, manage defects in Jira, collaborate with cross-functional teams, support CI/CD and DevOps testing, and mentor QA team members.

Lead end-to-end analytics projects, design scalable dashboards and measurement frameworks, perform deep-dive analyses and A/B test evaluation, mentor junior analysts, collaborate with data engineers, and communicate insights to stakeholders and leadership.

Support client teams by translating business questions into analytical requirements, performing exploratory analysis, building dashboards and reports, validating data quality, tracking KPIs, and communicating insights. Collaborate with engineers, data scientists, and product teams while developing consulting and analytics skills.

Lead treasury analytics for retail behavioural risk, developing and validating models (GLM, survival analysis), cash-flow modeling and P&L analysis. Support pricing, valuation and hedging analytics for retail products, collaborate with business and Treasury CFO, and ensure methodology governance and system integration.

Early-career IT Support Analyst on a 6-month contract supporting operational technology across managed properties. Build automation, dashboards, and scripts; assist cybersecurity operations and vulnerability tracking; configure and test OT platforms; improve ticketing workflows and documentation; support property onboarding and device setup; participate in incident exercises and cross-team projects. Role includes onsite work at properties and office in Toronto.

Perform quarterly reserve valuations for property & casualty lines, build monitoring and regulatory reports, certify financial results with auditors and regulators, implement governance and risk controls, and coach colleagues. Use actuarial methods, assumptions, and tools to calculate provisions in accordance with standards and legislation.

Support cross-functional teams by translating business questions into data needs, extracting and integrating datasets, ensuring data quality, conducting exploratory and advanced analysis, and building dashboards and visualizations (Tableau, Excel). Partner with data engineers and scientists, source external data, apply segmentation and spatial analysis, and present actionable recommendations to drive strategic decisions and product/marketing initiatives.

Lead and deliver end-to-end, cloud-native platform solutions for enterprise data catalog services. Set architecture, build critical components, enforce security and quality, implement CI/CD and automation, enable AI-assisted workflows with governance, and mentor teams to improve reliability, performance, and developer productivity.

Develop and maintain cloud-enabled data catalog services and components. Implement defined features, write maintainable tested code, perform unit/component testing, participate in code reviews, document designs, and support production incidents under senior guidance. Follow secure, scalable architecture and delivery practices while growing domain and platform knowledge.

Develop embedded Linux software and GUIs for industrial controllers; implement industrial protocols (Modbus, BACnet, SNMP); support product lifecycle from development to production/service and write operational documentation.

Lead development and automation of reporting and executive dashboards, design campaign measurement frameworks (attribution, A/B, incrementality), analyze multi-channel performance, ensure data governance and pipeline integrity, translate insights for stakeholders, and partner cross-functionally to optimize marketing effectiveness and reporting consistency.

Lead evolution of Allied's Microsoft-centric enterprise data platform (Fabric, Power Platform, Power BI), integrate Yardi and IoT sources, build Power Apps and Power BI solutions, advance data governance and modelling, enable AI/LLM integrations, and drive reporting modernization and stakeholder adoption across the business.