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Added 1 min ago
Product Development Engineer|
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Full-time
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Zurich Canada

Data Engineer

Toronto, ON, Canada

Pay: The salary range for this position is $65,000–$100,000.
Job type: Full-time
Apply by: Oct 24, 2026
Posting language: English
Posted: Sep 24, 2026

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Original job description

The Opportunity

Are you looking for a caring, collaborative, values-driven workplace with inspiring teammates and leaders? Do you have the ambition and desire to be the best and thrive at the most impactful global insurance provider in the world? Look no further than Zurich Canada.

If you have experience in data engineering and are looking for an opportunity to build your skills on modern enterprise data platforms, we would love to hear from you.

Zurich Canada is looking for a Data Engineer to build, operate and support data pipelines and analytics-ready datasets that power reporting, advanced analytics and AI-enabled solutions across the organization.

Reporting to the Data Platform Leader, you will work with data engineers, platform teams, analytics partners and business stakeholders to ingest, transform and curate high-quality data using Microsoft Azure and Databricks. You will gain hands-on experience with enterprise data platforms while working within Zurich’s data governance, security and risk standards.

This is an opportunity to deepen your technical expertise, contribute to meaningful enterprise data initiatives and continue building your career in a collaborative environment where your ideas and perspective are valued.

This posting is for an existing vacancy.

Zurich Canada uses artificial intelligence–enabled tools to support certain aspects of the recruitment process, including the initial review and screening of applications. Artificial intelligence is not the sole basis for candidate shortlisting or selection. All hiring decisions are reviewed and made by qualified hiring professionals.

Zurich follows a hybrid work model requiring three days per week of in-person presence, which may include time in the office or market-facing engagements.

What you will do:

Develop and maintain scalable data pipelines using Databricks on Microsoft Azure for batch and incremental data processing.
Build data transformations using Python and SQL, following established engineering standards and patterns.
Support the ingestion of data from enterprise applications, files, APIs and event-driven sources.
Help design and maintain curated datasets across Lakehouse layers, including raw, refined and curated data.
Perform data-quality checks, anomaly detection and reconciliations to improve data accuracy and reliability.
Monitor production jobs, troubleshoot failures and resolve data issues.
Partner with analytics, data science and AI teams to create trusted data foundations for reporting, advanced analytics and AI-enabled use cases.
Follow Zurich’s data governance, privacy and security requirements, including standards for sensitive and regulated data.
Contribute to technical documentation, runbooks and knowledge sharing across the Data Management team.
Continue developing your technical capabilities by applying new platform features and engineering practices.

Job Qualifications – What You Bring To The Table

Bachelor’s degree in Computer Science, Engineering, Information Systems or a related discipline

OR

Equivalent practical experience

AND

Hands-on experience using Python for data processing and automation.
Working knowledge of SQL for querying and transforming data.
Exposure to Databricks, including jobs, notebooks and Delta Lake concepts, or a similar cloud data platform.
Familiarity with Microsoft Azure services such as storage, compute, identity and networking.
Understanding of core data-engineering concepts, including ETL/ELT, data modelling, schema evolution and performance optimization.
Understanding of data-quality, validation and monitoring practices.
Awareness of modern analytics and AI/ML concepts and the role data engineering plays in enabling them.
Ability to write clear, maintainable code and work within version-control and engineering standards.
Strong problem-solving skills, curiosity and a willingness to learn in a complex enterprise environment.

Preferred

Experience with Delta Lake or Lakehouse architectures.
Exposure to CI/CD practices for data pipelines.
Familiarity with data governance, privacy or regulated-data environments such as financial services or insurance.
Experience supporting data solutions in an enterprise production environment.
Interest in AI-enabled analytics and automation.

Compensation

At Zurich Canada, we are committed to pay equity. We determine compensation based on objective criteria such as skills, experience and internal equity. The salary range for this position is $65,000–$100,000. This range reflects the expected pay for the role across Canada and may vary depending on factors such as office location, specific responsibilities and individual qualifications.

Our Culture

At Zurich, we are proud of our culture. We are passionate about Diversity, Inclusion, Equity and Belonging (DIEB). We want you to bring your whole self to work, and we want our employees to be reflective of the communities in which we live and work. Our DIEB initiatives are creating an environment where everyone feels welcome.
We have a collaborative culture where diversity of thought is valued. We value your input and strive to give our employees the tools they need to make an impact.
We care about our employees’ well-being and offer a comprehensive health/benefits plan with varying levels of coverage to suit your specific needs and a competitive total compensation package.
We understand how important it is to rest, recharge and do the things you love. At Zurich, all employees receive a minimum of four weeks of vacation per year to do just that.
We also understand that employees require time off for personal reasons. Maybe you have an appointment during a workday, a cultural or religious holiday you would like to observe, or you need time off to focus on your mental health. Zurich employees receive four personal days per year to be used at their discretion.
We are committed to continuous improvement and offer access to a comprehensive range of training and development opportunities.
We care about our communities. Our communities are where our customers, people, and shareholders live and work. While we can be proud of the contribution to society Zurich makes through our core business of insurance, we must also give back to our communities through our talent, time and resources.
We have won numerous awards for our workplace culture. We are proud to be one of Greater Toronto’s Top Employers and to have received Insurance Business Canada’s 5-Star Diversity, Equity and Inclusion Award.

Make a difference. Be challenged. Be inspired. Be supported. Love what you do. Work for us.

About US

Zurich Canada is part of the Zurich Insurance Group, a multi-line insurer with approximately 55,000 employees worldwide serving customers in global and local markets. Zurich Canada has been a leading insurance provider serving mid-sized and large companies, including multinational corporations, in the Canadian commercial market for 100 years. With over 650 employees in offices across the country, Zurich offers the global strength of a top insurance provider combined with in-depth knowledge of industries and local markets. Zurich Canada aspires to be risk management professionals’ first choice as their premier partner to help meet the risk challenges of today and tomorrow. Read more at www.zurichcanada.com.

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More about this job

Responsibilities

Develop, operate, and support scalable data pipelines and curated Lakehouse datasets using Databricks on Azure, including data ingestion, transformation, quality checks, monitoring, and troubleshooting. Partner with analytics, data science, AI, platform, and business teams to provide trusted data foundations while following governance, privacy, security, and engineering standards.

Requirements

A bachelor's degree in a related discipline or equivalent practical experience is required, along with hands-on Python experience, working knowledge of SQL, and exposure to Databricks or a similar cloud data platform. Candidates should understand Azure services, data engineering and quality practices, and maintainable engineering standards; experience with Lakehouse architectures, CI/CD, regulated data, or enterprise production environments is preferred.

Skills

Python
SQL
Databricks
Microsoft Azure
Data Pipeline Development
ETL/ELT
Data Modeling
Delta Lake
Data Quality
Data Validation
Data Monitoring
Data Governance
Data Privacy and Security
Version Control
CI/CD
Problem-Solving

Benefits

Health and Benefits Plan
Four Weeks of Vacation
Four Personal Days
Training and Development Opportunities

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Databricks
Microsoft Azure
Data Pipelines
Batch Processing
Incremental Processing
ETL/ELT
Data Ingestion
Data Transformation
Lakehouse
Delta Lake
Data Modeling
Schema Evolution
Performance Optimization
Data Quality
Anomaly Detection
Data Reconciliation
Production Monitoring
Data Governance
Data Privacy
Data Security
Version Control
CI/CD
Analytics
Data Science
AI/ML
Insurance
Financial Services

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