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iA Financial Group

Data Engineer, Investments

Montreal, QC, Canada
Quebec, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Oct 16, 2026
Experience: Has 5 to 10 years of experience in data engineering, ETL/ELT development, or a related field.
Posting language: English
Posted: Sep 22, 2026

Original job description

Job Description

Job 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.
Participate in an on-call rotation one week per month, with additional compensation.

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 West

Other Possible Location(s)

Montreal / 1981 McGill College Avenue

Company

iA Financial Group

Posting End Date

2026-10-16

Company 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 privée de patrimoine, PPI Management, Investia, iA Gestion de placements, Prysm, iA Clarington, Michel Rhéaume et associés, 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.

Apply About employer

More about this job

Responsibilities

You will design, develop, and maintain high-performance data pipelines on the Google Cloud Platform while ensuring data quality and governance. You will also collaborate with multidisciplinary teams to translate business needs into robust, scalable, and AI-driven technical solutions.

Requirements

The ideal candidate has 5 to 10 years of experience in data engineering and holds a degree in computer science or software engineering. Proficiency in GCP services, pipeline orchestration, and modern development practices like CI/CD and Infrastructure as Code is required.

Skills

Data Engineering
Google Cloud Platform
BigQuery
ETL/ELT
Spark
Dataproc
Prefect
GitHub
CI/CD
Terraform
Data Modeling
Data Governance
Cloud Run
DataOps
DevOps
Microservices

Benefits

Flexible group insurance
Competitive retirement plan
Employee share purchase plan
Vacation days
Wellness and personal development days
Telemedicine
Employee and family assistance program
Ergonomic equipment program
Performance bonus
Discounts on iA products

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Google Cloud Platform
BigQuery
ETL
ELT
Spark
Dataproc
Cloud Run
Prefect
GitHub
CI/CD
Terraform
Infrastructure as Code
Data Modeling
Data Vault
Star Schema
DataOps
DevOps
Microservices
Data Governance
IAM
Agile
MLOps
Financial Data
Investment Data
Professional Data Engineer

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