Build privacy automation with Python, SQL, and APIs as a Privacy Operations Engineer in Toronto, using a hybrid work model. Connect compliance workflows with global data infrastructure across regions.This hands-on engineering role requires 5-7+ years in data engineering, software engineering, or technical privacy engineering. You will support OneTrust integrations, Power Automate workflows, data mapping, and privacy assessments. The work spans UK/EU, US, APAC, and other regions, connecting engineering, product, legal, and privacy teams.Key Responsibilities:
Build automation for data subject rights and privacy assessmentsIntegrate OneTrust with Azure DevOps, Jira,



and data storesMaintain event-driven data mapping and ROPA pipelinesImplement redaction pipelines with human-review checkpointsMonitor tooling health and troubleshoot integration issuesRequirements:
5-7+ years in engineering or technical privacy rolesProficiency in Python, SQL, or another programming languageExperience building APIs and automated workflowsUnderstanding of global privacy concepts and regulationsExperience across structured and unstructured data systemsApply privacy engineering, API integration, and automation expertise to strengthen Thomson Reuters’ global privacy operations in Toronto.
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📌 Privacy Automation Engineer Toronto (Winnipeg)
🏢 Reuters
📍 Winnipeg