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About the Role

Zurich Canada is seeking a Data and Automation Engineer to join the Actuarial Pricing team. This role will focus on creating data solutions to support actuarial analyses, enhance business insights, automate data processes, and build reporting tools for trend detection and KPI monitoring. You will collaborate with actuaries, business stakeholders, and data teams to extract, transform, and curate data for pricing, portfolio monitoring, and profitability analysis.

Responsibilities

Design, build, and maintain data pipelines using Databricks, Microsoft Azure, Python, SQL and AI tools for actuarial pricing, portfolio management, and business reporting.
Automate data ingestion, extraction, transformation, and loading processes to improve efficiency and scalability.
Create analytics-ready datasets for pricing analyses, trend studies, profitability reviews, and KPI reporting.
Build and maintain Power BI dashboards and automated reports for trend detection and portfolio performance management.
Partner with actuaries and business stakeholders to translate analytical requirements into data solutions and repeatable processes.
Streamline processes for data extraction, transformation, reconciliation, and manipulation for actuarial models and insights.
Identify, document, and track data quality issues, including root cause analysis and remediation.
Support production processes, including monitoring jobs, troubleshooting failures, and implementing fixes.
Collaborate with data engineering, analytics, technology, and governance teams to align solutions with enterprise standards.
Collaborate with analytics, data science, and AI teams to enable downstream reporting and AI use cases.
Contribute to technical documentation, runbooks, and knowledge sharing.

Requirements

Bachelors degree in Computer Science, Engineering, Information Systems, or a related discipline.
3–6 years of experience in data quality, data governance, analytics, or data management roles.
Hands-on experience with Python for data processing, automation, and workflow improvement.
Strong working knowledge of SQL for querying, transforming, reconciling, and validating large datasets.
Experience with Databricks, Delta Lake concepts, or similar cloud data platforms.
Familiarity with Microsoft Azure services and modern cloud data architecture concepts.
Experience developing dashboards, reports, or business intelligence solutions using Power BI or similar visualization tools.
Hands-on experience using AI tools (e.g. Gemini, Claude, ChatGPT) in data-related projects.
Understanding of data engineering fundamentals, including ETL / ELT, data modeling, schema design, data quality controls, and performance optimization.
Ability to translate business and analytical requirements into practical data solutions.
Strong problem-solving skills with the ability to investigate data issues and communicate findings.
Ability to write clear, maintainable code and follow team standards, documentation practices, and version control processes.
Strong written and oral communication skills.
A collaborative mindset, open cross-team teaching, and knowledge sharing.
Experience working with actuarial, insurance, underwriting, claims, finance, or portfolio management data.
Exposure to pricing, profitability, rate monitoring, loss ratio, catastrophe, or portfolio KPI reporting processes.
Experience with AI-assisted or automated data quality tools.
Experience with Delta Lake, Lakehouse architectures, CI / CD concepts, or automated deployment practices for data pipelines.
Familiarity with data governance, privacy, controls, or regulated data environments.
Interest in applying automation, analytics, and AI-enabled capabilities to improve actuarial insight generation and business decision-making.

Skills

Databricks
Microsoft Azure
Python
SQL
Power BI
AI tools
ETL / ELT
Data modeling
Schema design
Data quality controls
Performance optimization
Delta Lake
Lakehouse architectures
CI / CD concepts
Automated deployment practices

Location

Canada

Work Type

Hybrid

Experience Level

3-6 years

Education Level

Bachelors degree in Computer Science, Engineering, Information Systems, or a related discipline

Salary/Compensations

70,000 – 105,000

Benefits

Comprehensive health/benefits plan
Minimum of four weeks of vacation per year
Four personal days per year
Access to a comprehensive range of training and development opportunities

About the Company

Zurich Canada is part of the Zurich Insurance Group, a global multi-line insurer with approximately 55,000 employees worldwide.
Zurich Canada has been a leading insurance provider for mid-sized and large companies in the Canadian commercial market for 100 years.
With over 650 employees across the country, Zurich offers global strength combined with in-depth knowledge of industries and local markets.
Zurich Canada aspires to be the premier partner for risk management professionals.
Zurich North America has over 148 years of experience managing risk and supporting resilience.
We are a leading provider of commercial property-casualty insurance solutions and risk management products and services.
We serve more than 25 industries and insure 90% of the Fortune 500®.
Zurich strives to provide ongoing career development opportunities and foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and people feel a sense of belonging.

Equal Opportunity

Zurich Canada is committed to pay equity.
At Zurich, we are proud of our culture. We are passionate about Diversity, Inclusion, Equity and Belonging (DIEB).
We have a collaborative culture where diversity of thought is valued.
We care about our employees’ well-being.
We care about our communities.
We have won numerous awards for our workplace culture, including Greater Toronto’s Top Employers and Insurance Business Canada’s 5-Star Diversity, Equity and Inclusion Award.
Zurich recognizes the diversity of our workforce as an asset.
Zurich is committed to providing a diverse, inclusive and barrier-free environment resulting in an accessible organization for employees, customers, and other parties.
We strive to achieve a workplace free of discrimination of all forms.
If you are interested in a job opportunity, please advise if you require an accommodation, so we can work with you to provide a more accessible process.