1

Insurance Data Engineer Jobs in Montreal, QC (NOW HIRING)

Job Title Data Engineer Internal Title: Data Analyst Build the future with us As a Data Engineer ... Competitive benefits: flexible group insurance, competitive retirement plan, employee share ...

Life and disability insurance * Employee assistance programs * Other benefits as provided by local ... engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data ...

We work with innovators across many industries, including lending, fintech, banking, insurance, and ... The Role We're hiring our Senior Data Engineer (Data / ML Platform) to stand up data engineering as ...

A career as a data engineering developer on the data team at National Bank means serving as a data ... Group insurance * Generous pension plan * Employee and Family Assistance Program * Preferential ...

As a Senior Data Transfer Developer, you will design, build, and evolve robust data transfer ... RRSP contribution * Healthcare insurance from day one * Paid time off : 3 weeks * An onboarding ...

We work with innovators across many industries, including lending, fintech, banking, insurance, and ... Our Data Engineering function owns the shared data platform and serving infrastructure you build on ...

next page

Showing results 1-20

Insurance Data Engineer information

What is an insurance data engineer?

Insurance Data Engineers are professionals who design, build, and maintain data systems that support the needs of insurance companies. They are responsible for collecting, organizing, and processing large amounts of data from various sources to enable accurate risk assessment, pricing, claims analysis, and regulatory compliance. Their work helps insurers make data-driven decisions, improve efficiency, and enhance customer experiences by leveraging modern data technologies.

What are the key skills and qualifications needed to thrive as an insurance data engineer, and why are they important?

To thrive as an Insurance Data Engineer, you need strong expertise in data modeling, ETL processes, and a solid understanding of insurance data structures, typically supported by a degree in computer science, data engineering, or a related field. Proficiency with SQL, Python, big data platforms (like Hadoop or Spark), and experience with cloud data solutions such as AWS or Azure are commonly required, along with certifications like AWS Certified Data Analytics or Google Cloud Data Engineer. Excellent problem-solving, communication, and collaboration skills help you bridge technical and business needs while ensuring data quality. These abilities are essential for building robust data pipelines and enabling accurate data-driven decision making within insurance organizations.

How does an insurance data engineer typically collaborate with actuarial and underwriting teams?

Insurance Data Engineers work closely with actuarial and underwriting teams to ensure that the data infrastructure supports accurate risk assessment and pricing models. They often translate business requirements from these teams into technical specifications, build data pipelines to source and clean relevant data, and assist in implementing predictive analytics tools. Regular communication and collaboration are essential, as data engineers help bridge the gap between raw data and actionable insights for decision-making. This teamwork not only streamlines workflow but also enables continuous improvement of insurance products and customer experience.

What is the difference between Insurance Data Engineer vs Data Analyst in the insurance industry?

AspectInsurance Data EngineerData Analyst
Required CredentialsBachelor's in Computer Science, Data Engineering certificationsBachelor's in Statistics, Data Analysis certifications
Work EnvironmentDevelops data pipelines, manages databases, works with big data toolsInterprets data, creates reports, visualizes insights
Employer & Industry UsageInsurance companies, tech firms in insuranceInsurance firms, consulting agencies, analytics companies

Insurance Data Engineers focus on building and maintaining data infrastructure, while Data Analysts interpret data to provide insights. Both roles are essential in the insurance industry but serve different functions in data management and analysis.

What are popular job titles related to Insurance Data Engineer jobs in Montreal, QC?

For Insurance Data Engineer jobs in Montreal, QC, the most frequently searched job titles are:

What job categories do people searching Insurance Data Engineer jobs in Montreal, QC look for?

The top searched job categories for Insurance Data Engineer jobs in Montreal, QC are:

Infographic showing various Insurance Data Engineer job openings in Montreal, QC as of June 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Remote job distribution.

Data Engineer, Investments

Industrial Alliance Pacific

Montreal, QC โ€ข Hybrid

Full-time

Retirement, PTO

Re-posted 12 days ago


Job description

Job DescriptionJob Title

Data Engineer

Internal Title: Data Analyst

Build the future with us

As a Data Engineer, you will play a key role in the design, industrialization, and optimization of modern data pipelines on the Google Cloud platform. You will actively contribute to building a robust, scalable, and AI-driven data architecture.

You will work closely with multidisciplinary teams to deliver concrete, high value-added solutions for the organization.

This position represents a great opportunity to showcase your skills and fully leverage your potential within a caring and reliable company. Here, people and their development are at the heart of our priorities, fostering an environment conducive to collaboration and innovation.


What you will accomplish with us

As a Data Engineer, you will be at the core of our mission. Here are your main responsibilities:

Data Engineering & GCP Platform
  • Design, develop, and maintain high-performance, secure, and scalable data pipelines (ETL/ELT) on Google Cloud Platform (GCP).
  • Leverage GCP services such as: BigQuery (analytics data warehouse) Cloud Storage (raw data and data zones storage) Dataproc (distributed Spark/Hadoop processing) Cloud Run (deployment of data services and microservices) Cloud Workstations (development environments)
  • Participate in the implementation of modern data lakehouse architectures.
Orchestration and Automation
  • Design and orchestrate data processing pipelines using Prefect.
  • Implement robust, observable, and resilient workflows.
Code Development and Governance
  • Develop in modern environments (VS Code / Cloud Workstations).
  • Manage source code using GitHub.
  • Implement CI/CD pipelines with GitHub Actions.
  • Automate deployments and infrastructure using Terraform (Infrastructure as Code).
Data & AI Enablement
  • Prepare, transform, and structure data to support analytics and artificial intelligence use cases.
  • Collaborate with data scientists to facilitate access to reliable and governed data.
DevOps, DataOps and Reliability
  • Implement DevOps/DataOps practices: Automated testing Pipeline monitoring Error handling and alerting
  • Ensure data quality, traceability, and governance.
Collaboration & Delivery
  • Work collaboratively with: Product Owners and Product Managers (PO & PM) Architects, Data Scientists, Business partners
  • Translate business needs into robust technical solutions.
  • Document solutions and contribute to their continuous evolution.

What could accelerate your success in this role

We are looking for someone who:

  • Has 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field.
  • Holds a degree in computer science, software engineering, or an equivalent field.
  • Masters data modeling concepts (Data Vault, star schema, etc.).
  • Has strong experience with: BigQuery and cloud analytics environments Distributed processing (Spark / Dataproc)
  • Has expertise in pipeline orchestration (e.g., Prefect, Airflow, or equivalent).
  • Is comfortable with modern development practices: GitHub, GitHub Actions CI/CD Infrastructure as Code (Terraform)
  • Is familiar with microservices-oriented architectures (Cloud Run or equivalent).
  • Understands data governance, security, and cloud access management (IAM).
  • Demonstrates strong analytical skills and the ability to propose relevant solutions.
  • Shows autonomy, rigor, and a constant focus on quality.
  • Thrives in an agile and multidisciplinary environment.
  • Has excellent proficiency in French, both spoken and written.
  • Has an intermediate level of English, as the role involves leading presentations and meetings with internal and external stakeholders on a weekly basis.

Important Assets

  • Experience in a production GCP environment
  • Knowledge of MLOps/DataOps practices
  • Knowledge of investment and financial data (portfolios, transactions, market prices), a major asset
  • GCP certification (e.g., Professional Data Engineer)

Why you'll enjoy working with us

  • An environment focused on innovation and modern data (GCP-first)
  • A strong culture of collaboration between IT, data, and business teams
  • A setting that encourages continuous learning and experimentation
  • A flexible hybrid work environment
  • Competitive benefits: flexible group insurance, competitive retirement plan, employee share purchase plan, vacation and wellness/personal development days, telemedicine, employee and family assistance program, ergonomic equipment program, performance bonus, discounts on iA products, and more!

Apply now and take charge of your career, where your talent truly matters!


Hesitating to apply?

At iA, we believe in potential and value diverse experiences. If this role inspires you, go ahead and apply, your place might be with us, and we want to get to know you!

Location(s)Quebec / 1080, Grande Allee WestOther Possible Location(s)Montreal / 1981 McGill College Avenue
Company

iA Financial Group

Posting End Date2026-08-28Company Overview

iA Financial Group* is the strength of a company with a human side, with its over 8,000 employees. Together, we have earned the trust of our more than four million clients and 25,000 advisors who have chosen us for their insurance, savings, and wealth management.

With over $200 billion in assets and half a billion invested in technological innovation, we're a key player in the financial services industry in Canada and the United States. The secret to our success? Investing in you, one person at a time. Because, for over 125 years, we have believed that it's by supporting our employees and surrounding ourselves with the most reputable leaders in the industry, we will continue to innovate.

At iA, we're invested in you.

* iA Financial group includes the following entities: iA Services financiers, iA assurance auto et habitation, iA Gestion privee de patrimoine, PPI Management, Investia, iA Gestion de placements, Prysm, iA Clarington, Michel Rheaume et associes, Garanties Nationales, WGI Manufacturing, WGI Service Plan Division, Lubrico, iA Financement auto Our Commitment to Diversity and Inclusion

At iA Financial Group, we support and celebrate diversity. We strive to provide a workplace that is recognized as inclusive for all, regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability.

Please note that if you need help or assistance to make the recruitment process more accessible for you, please Contact us here. Someone from our team will be happy to assist you with your needs.