Data Engineer

Data Engineer – Zurich Canada

Zurich Canada offers a caring, collaborative, values‑driven workplace for data engineering professionals. You will work with senior data engineers, analytics partners, and business stakeholders to ingest, transform, and curate high‑quality data using modern cloud and Lakehouse technologies. The role reports to a Data Platform Leader and provides strong hands‑on exposure to enterprise data platforms while operating within Zurich’s governance, security, and risk standards.

Hybrid work model: three days per week of in‑person presence required, which may include time in the office or market‑facing engagements.

• Develop and maintain scalable data pipelines using Databricks on Microsoft Azure, supporting batch and incremental data processing use cases
• Implement data transformations using Python and SQL, following established engineering standards and patterns
• Support ingestion of data from multiple sources including enterprise applications, files, APIs, and event‑driven feeds
• Assist in designing and maintaining curated datasets in Lakehouse layers (raw, refined, curated)
• Perform data quality checks, basic anomaly detection, and reconciliations to ensure data accuracy and reliability
• Participate in production support activities, including monitoring jobs, troubleshooting failures, and resolving data issues
• Collaborate with analytics, data science, and AI teams to enable downstream reporting and Agentic AI / AI‑assisted analytics use cases
• Adhere to data governance, privacy, and security policies, including handling of sensitive and regulated data
• Contribute to technical documentation, runbooks, and knowledge sharing across the Data Management team
• Continuously learn and apply new platform capabilities and engineering best practices

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related discipline
• Equivalent practical experience
• Hands‑on experience with Python for data processing and automation
• Working knowledge of SQL for querying and transforming large datasets
• Exposure to Databricks (jobs, notebooks, Delta Lake concepts) or similar cloud data platforms
• Familiarity with Microsoft Azure services (e.g., storage, compute, identity, networking concepts)
• Understanding of data engineering fundamentals: ETL / ELT, data modeling, schema evolution, and performance optimization
• Basic understanding of data quality, validation, and monitoring concepts
• Awareness of modern analytics, AI/ML, or Agentic AI concepts and how data engineering enables these capabilities
• Ability to write clear, maintainable code and follow team standards and version control practices
• Strong problem‑solving skills and willingness to learn in a complex enterprise environment

• Experience with Delta Lake or Lakehouse architectures
• Exposure to CI / CD concepts for data pipelines
• Familiarity with data governance, privacy, or regulated data environments (e.g., financial services or insurance)
• Experience supporting production systems in a 24x7 enterprise environment
• Interest in AI‑enabled analytics, automation, or intelligent agents

Pay Equity: Zurich Canada is committed to pay equity. Compensation is based on objective criteria such as skills, experience, and internal equity. The salary range for this position is $65,000 – $100,000. The range reflects the expected pay across Canada and may vary depending on office location, specific responsibilities, and individual qualifications. Starting salaries may exceed this range based on a candidate’s skills and experience.

Zurich Canada is an equal opportunity employer and provides reasonable accommodations for applicants with disabilities.