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 assessments
- Integrate OneTrust with Azure DevOps, Jira, and data stores
- Maintain event-driven data mapping and ROPA pipelines




- Implement redaction pipelines with human-review checkpoints
- Monitor tooling health and troubleshoot integration issues

Requirements:

- 5-7+ years in engineering or technical privacy roles
- Proficiency in Python, SQL, or another programming language
- Experience building APIs and automated workflows
- Understanding of global privacy concepts and regulations
- Experience across structured and unstructured data systems

Apply privacy engineering, API integration, and automation expertise to strengthen Thomson Reuters’ global privacy operations in Toronto.

📌 Privacy Automation Engineer Toronto
🏢 Reuters
📍 Toronto