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Added 19 days ago
KL
IT Analyst – Developer
Kativik llisarniliriniq
Montreal, QC
- Full-time
Validate APIs, web services, system integrations, and data exchanges between applications
Added 19 days ago
CO
Staff Software Engineer
Capital One
Toronto, ON
- Full-time
Continuously improve software engineering developer experience; identify gaps in existing internal framework and tools and contribute
Added 19 days ago
Data Engineering & Analytics Student
Canadian Mental Health Association- Peel Branch
Brampton, ON
We are looking for a Data Engineering & Analytics Student to join our Team!
Added 19 days ago
GT
Consultant, Site Reliability Engineering
Global Technical Talent, an Inc. 5000 Company
Toronto, ON
- $65 to $72 CAD / hour
- Contract
As a member of the client's Application Reliability Engineering Platform team, the Consultant, Site Reliability Engineering will play a key role in Digital and Client Experience Technology…
Added 19 days ago
E
Senior Analyst - Subsurface Innovation - 26352
Enverus
Calgary, AB
- Full-time
Advanced Excel skills; comfort with data tools (Python, SQL, Power BI, or Spotfire) and AI tools is a strong plus.
Added 19 days ago
C
Expert System Architecture - Google Cloud Platform and Gemini Entreprise-CA
CN
Toronto, ON
- Full-time
Define integration patterns across applications, platforms, data ecosystems, and third-party solutions.
Added 19 days ago
E
Sr. Backend Engineer - Test Automation
eBay
Toronto, ON
- Full-time
Experience establishing developer-owned testing practices and improving automated test coverage across engineering teams.
Added 19 days ago
F
Embedded Software Developer
Fortinet
Burnaby, BC
- Full-time
Work on networking features across the data plane, control plane, and system-management layers.
Added 19 days ago
AC
Développeur·euse C / Python
ALTEN Canada
Montreal, QC
- Full-time
Développer en C (logiciel côté système) et Python (compétences fortes requises)
Added 19 days ago
TC
Kafka Developer
Tata Consultancy Services
Mississauga, ON
- $100,000 to $130,000 CAD / year
- Full-time
…Schema Registry, and other ecosystem components required for data integration.- Implement and maintain High Availability (HA) and Disaster Recovery (DR) solutions for Kafka platforms.-…
Added 19 days ago
Senior Cloud Security & DevSecOps Engineer
Capgemini
Toronto, ON
…management, observability, incident response, and site reliability…
Added 19 days ago
KI
Intern Cloud Developer, Platform Engineering
Kinaxis Inc.
Ottawa, ON
- Internship
The Cloud Engineering Team uses modern tools and best practices to automate new functions and features in cloud applications and infrastructure. Through a software engineering lens, we…
Added 19 days ago
K
Senior Full Stack Developer
KellyOCG
Montreal, QC
- $69 CAD / hour
- Contract
We’re seeking a senior, hands-on software developer to design, build, and maintain business applications. You’ll work across application development and production support, contribute to…
Added 19 days ago
ES
Python full stack Engineer
Epsilon Solutions Ltd.
Montreal, QC
- Contract
Python Overall 7 years of development experience with 5 years of handson experience in Python Proven ability to write optimized efficient and clean code
Added 19 days ago
H
Production Support Analyst
Hays
Montreal, QC
- Contract
The successful candidate will work closely with engineering and development teams to handle problem management activities, including designing, building, and maintaining systems while…
Added 19 days ago
LC
Staff Engineer
Loblaw Companies Limited
Brampton, ON
- Full-time
15+ years of experience in software engineering covering Java, Springboot, GoLang and Python.
Added 19 days ago
LC
Data Science Analyst
Loblaw Companies Limited
Brampton, ON
- Full-time
Develop and enhance predictive models by supporting data preparation, feature engineering, model development, customer segmentation, and targeting methodologies across various business…
Added 19 days ago
WD
Staff Software Engineer - USD Authoring
Walt Disney Animation Studios
Vancouver, BC
- $143,100 to $191,950 CAD / year
- Full-time
Building new APIs to allow for artist-facing and data management tools to more readily access shot content
Added 19 days ago
TR
Senior Software Engineer
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
You will partner with Product, Architecture, Security, DevOps and engineering teams to improve platform reliability, deployment velocity, operational maturity and developer experience. This…
Added 19 days ago
M
Analyste principal(e) en intelligence d’affaires/ Senior Analyst, Business Intelligence (contrat 12 mois)
McKesson
Montreal, QC
- Full-time
…with business analysts and management to build interactive data reports and dashboards to assess the current state of the Pharma Distribution business, identify trends and solve problems.…
Added 19 days ago
M
Senior Analyst, Business Intelligence (12 month Contract)
McKesson
Mississauga, ON
- Full-time
…with business analysts and management to build interactive data reports and dashboards to assess the current state of the Pharma Distribution business, identify trends and solve problems.…
Added 19 days ago
AT
Power BI Developer
Arkhya Tech Inc.
Toronto, ON
- Contract
This position is for a Senior Data engineer with a background in Python, Pyspark, SQL and data warehousing for enterprise level systems
Added 19 days ago
G
Lead Full Stack Developer with Agentic AI
Galent
Toronto, ON
- Contract
You will be responsible for working closely with AI data scientists to support data ingestion and feature engineering, establishing industry best practices, maintaining and managing…
Added 19 days ago
ZC
Data Engineer
Zurich Canada
Toronto, ON
- Full-time
Implement data transformations using Python and SQL, following established engineering standards and patterns
Added 19 days ago
SM
Python Developer - Hybrid
S M Software Solutions Inc
Mississauga, ON
- Full-time
The Python Developer will develop software solutions using Python, applying strong software engineering principles and data manipulation techniques. The role involves analyzing source code…

Zurich Canada

Data Engineer

Toronto, ON, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 19, 2026
Experience: As part of a leading global organization, Zurich North America has over 148 years of experience managing risk and supporting resilience.
Posting language: English
Posted: Oct 20, 2026

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 a new challenge, we would love to hear from you.

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

Reporting to a Data Platform Leader, you will work closely with senior data engineers, data platform teams, analytics partners, and business stakeholders to ingest, transform, and curate high-quality data using modern cloud and Lakehouse technologies. The position provides strong hands-on exposure to enterprise data platforms while operating within Zurich’s governance, security, and risk standards.

This is a unique opportunity to build your knowledge and experience for the future in a supportive environment where your voice matters. 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, 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 (e.g., 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

Job Qualifications - What You Bring To The Table

Required:

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

Equivalent practical experience

AND

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

Preferred:

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

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 like office location, specific responsibilities, and individual qualifications. As required by local law, Zurich provides in good faith a reasonable compensation range, but starting salaries may exceed this range based on a candidate’s skills and experience.

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.

A future with Zurich

Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, 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 a wide range of risk management products and services for businesses and individuals. Today, we serve more than 25 industries, from agriculture to technology and insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, Zurich strives to provide ongoing career development opportunities and foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our people, our customers and the communities we serve.

As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich is committed to providing a diverse, inclusive and barrier-free environment resulting in an accessible organization for employees, customers, and other parties who interact with, or on behalf of, Zurich. We strive to achieve a workplace free of discrimination of all forms, including discrimination on the basis of physical or mental disability, or medical condition. 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.

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich Canadian Holdings Limited. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.

Only applicable for Canada: For Zurich Canada's commitment to diversity and accessibility please click here. If you would prefer to not receive future electronic messages from Zurich Insurance Company Ltd's recruitment management system, please email your request to have your job profile deleted from the system by clicking here. Zurich Insurance Company Ltd 100 King St., W., Suite 5500, Toronto, ON, M5X 1C9. www.zurichcanada.com

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More about this job

Responsibilities

Build, operate, and support scalable data pipelines and curated Lakehouse datasets using Databricks, Azure, Python, and SQL. Ensure data quality and governance, support production operations, and collaborate with analytics, data science, and AI teams to enable reporting and AI-enabled use cases.

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 similar cloud data platforms and Azure. Candidates should understand data engineering fundamentals, data quality, and version control, and be willing to learn in a complex enterprise environment; Lakehouse, CI/CD, regulated-data, and production-support experience are preferred.

Skills

Python
SQL
Databricks
Microsoft Azure
Data Pipeline Development
ETL/ELT
Data Modeling
Delta Lake
Lakehouse Architecture
Data Quality Validation
Data Monitoring
Data Governance
Data Security and Privacy
CI/CD
Production Support
Version Control

Benefits

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

Visa sponsorship

Not detected in the job text

Keywords

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

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