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Added 11 mins ago
IG
Platform Engineer
Insight Global
Toronto, ON
- $120,000 to $140,000 CAD / year
- Full-time
Insight Global is looking for a Lead AI Engineer to join a leading bank based in Toronto. You will be part of the Cloud Engineering Infrastructure team supporting the platform operations.…
Added 38 mins ago
GC
Data Engineer
GEI Consultants, Inc.
Guelph, ON
- $90,000 to $150,000 CAD / year
- Full-time
The Data Engineer plays a hands-on role by preparing and integrating the data foundations that AI solutions depend on. This includes building ingestion pipelines, managing data stores,…
Added 1 hour ago
AI
Salesforce AI & Data Cloud Solutions Engineer
AGF Investments
Toronto, ON
- Full-time
Platform development experience with Flow Builder, Apex, Lightning Web Components, release management, and DevOps tooling such as Azure DevOps.
Added 1 hour ago
SF
Application Security Engineer II
Spring Financial Inc.
Vancouver, BC
- Full-time
Collaborate with platform and DevOps teams on identity, access, and secrets management patterns (e.g., OAuth/OIDC, SSO, JWT token handling, Vault, AWS IAM).
Added 2 hours ago
SF
Application Security Engineer II
Spring Financial
Vancouver, BC
- Full-time
Collaborate with platform and DevOps teams on identity, access, and secrets management patterns (e.g., OAuth/OIDC, SSO, JWT token handling, Vault, AWS IAM).
Added 2 hours ago
Platform Engineer
Scotiabank
Toronto, ON
The Platform Engineer will work under the guidance of Sr Engineers/Platform Leads to build, tune, manage infrastructure, DevOps, monitor troubleshoot, enhance, enable new features & provide…
Added 2 hours ago
Senior Platform Engineer
Scotiabank
Toronto, ON
The Senior Platform Engineer will be responsible for the building, tuning, managing infrastructure, DevOps, Platform site reliability, monitoring, troubleshooting, enhancing, enabling new…
Added 2 hours ago
RB
Staff Cloud Security Engineer (Global Security)
Royal Bank of Canada
Vancouver, BC · Toronto, ON
- Full-time
Familiarity with modern Software Engineering, DevOps, and SRE practices
Added 3 hours ago
G
DevOps- AI Platform Engineer
Galent
Halifax, NS
- Contract
We are looking for a Developer obsessed with efficiency and automation to be part of an autonomous team to deliver services for application teams across Capital Markets. An open minded…
Added 3 hours ago
AM
Salesforce AI & Data Cloud Solutions Engineer
AGF Management
Toronto, ON
- Full-time
Platform development experience with Flow Builder, Apex, Lightning Web Components, release management, and DevOps tooling such as Azure DevOps.
Added 4 hours ago
M(
Director of Platform Engineering
MaintainX (An Autodesk Company)
Remote, Canada
- $173,000 to $254,000 CAD / year
- Full-time
- Remote
We're looking for an Engineering Director to lead MaintainX's Platform division. Platform owns the seven foundational teams every product engineer builds on: AI Builder, DevOps, Compliance,…
Added 5 hours ago
M
Technical Architect- AI
Mphasis
Toronto, ON
- Full-time
…of enterprise-scale Generative AI solutions on Google Cloud Platform (GCP). The ideal candidate will possess deep expertise in Retrieval-Augmented Generation (RAG), Large Language Models…
Added 5 hours ago
GD
Software Engineering Developer, DevOps
General Dynamics Missions System International
Calgary, AB · Ottawa, Ontario
- $85,000 to $110,000 CAD / year
- Full-time
We are seeking a skilled DevOps Engineer to join our team and enhance our development and operational efficiency. This role is ideal for someone who thrives in a cloud-agnostic environment…
Added 5 hours ago
CF
AI/ML DevOps Engineer
CI Financial
Toronto, ON
- Full-time
CI Financial is seeking an experienced AI/ML DevOps Engineer to join the Data, AI & Analytics (DNA) team. In this role, you will help operationalize Gen AI and machine learning solutions by…
Added 5 hours ago
RS
Principal Software Engineer- RMJ (AI Accelerated)
Redwood Software
ON
- $150,000 to $170,000 CAD / year
Redwood Software is the leading orchestration platform for the autonomous enterprise, driving business transformation at the lowest total cost of ownership. Redwood empowers organizations…
Added 6 hours ago
Intermediate Site Reliability Engineer
ContactMonkey
Toronto, ON
Around 3–5 years of experience in SRE, DevOps, platform engineering, cloud operations, or a related engineering role. Equivalent practical experience is welcome.
Added 6 hours ago
M
Data Specialist
McKesson
Mississauga, ON
- Full-time
Partner with Forward Deployed Engineer, business stakeholders, product teams, and analytics teams to translate business requirements into scalable data solutions.
Added 7 hours ago
I
Senior Systems Engineer
illumin
Toronto, ON · Greater Toronto Area, Canada
- $100,000 to $150,000 CAD / year
- Full-time
We are hiring a Senior Systems Engineer to join our Infrastructure & Operations team. This is a senior, hands-on infrastructure role focused on Linux systems, virtualization, physical and…
Added 7 hours ago
AS
Cloud DevOps Engineer – Health
Alquemy Search & Consulting
Vancouver, BC
- Full-time
We are seeking a Cloud DevOps Engineer to join the Health Team. This role will focus on provisioning and maintaining Azure infrastructure, supporting Kubernetes-based applications, and…
Added 7 hours ago
S
Senior Application Support Engineer (m/f/d)
Solactive
Toronto, ON
- Full-time
Partner with development, infrastructure, and business teams to maintain platform stability.
Added 7 hours ago
KG
Senior Java Low Latency Developer
K&K Global Talent Solutions INC.
Mississauga, ON
- Full-time
…Access (DMA) platforms. This role is ideal for a highly skilled engineer with a strong background in low-latency trading systems, financial markets technology, and modern Java…
Added 8 hours ago
TC
GCP Infrastructure & Cloud SRE Engineer
Tata Consultancy Services
Toronto, ON
- $90,000 to $100,000 CAD / year
- Full-time
Partner with development, security, and infrastructure teams to enable self-service platform capabilities.
Added 8 hours ago
DevOps Developer, AI Automation
Stay22
Montreal, QC
We are searching for a Platform Engineer with strong Devops and SRE experience to join our growing Platform team. You will also drive the adoption of agentic AI across the platform,…
Added 8 hours ago
Senior Software Engineer – DevTest / QA Automation
Kaseya Careers
Toronto, ON
Collaborate closely with software engineers, architects, product managers, DevOps, operations, and other QA/DevTest engineers to identify quality risks and improve engineering practices.
Added 8 hours ago
JT
Technical Program Manager
Jobility Talent Solutions
Toronto, ON
- Contract
Comfortable engaging in technical conversations with engineering teams on topics like infrastructure, migrations, platform services, and cloud cost/operations, without needing to be a…

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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