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Added 44 mins ago
AI
AWS SageMaker/MLOps Engineer
Apptoza Inc.
Toronto, ON
- Contract
Detailed Job Description: We are looking for a highly experienced Senior AWS SageMaker / MLOps Engineer with 8+ years of overall IT experience and strong expertise in building, deploying,…
Added 57 mins ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 1 hour ago
P
Senior Applied AI Developer
Plusgrade
Montreal, QC
- Full-time
You own the entire ML lifecycle end-to-end, from data pipelines with SQL and PySpark to CI/CD, MLOps, model retraining, drift detection, and quality governance.
Added 1 hour ago
SG
Senior Product Solutions Analyst
Scotia Global Asset Management
Toronto, ON
- Full-time
Strong understanding of classical machine learning, model development, MLOps, and generative AI
Added 1 hour ago
M
AVP, AI
Manulife
Toronto, ON
- Full-time
Hands-on engineering expertise in Python, cloud ML environments, MLOps, vector databases, LLM-Ops, and modern evaluation frameworks; experience with Agentic AI architectures, orchestration…
Added 1 hour ago
E
Spécialiste IA et automatisation de processus
EXFO
Montreal, QC · Quebec, QC
- Full-time
Collaborer avec les développeurs MLOps à l’évolution de notre plateforme agentique en identifiant les besoins liés aux connecteurs, à l’orchestration, aux permissions et à l’intégration.
Added 1 hour ago
PO
Machine Learning Developer
P&P Optica
Waterloo, ON
- $115,000 to $120,000 CAD / year
- Full-time
We are looking for a rigorous, delivery-focused Machine Learning Developer with 3 or more years of experience who thrives at the intersection of software development and machine learning…
Added 2 hours ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
Added 3 hours ago
R
Principal AI Engineer, Agentic Models and Data Platforms
RBC
Calgary, AB
- Full-time
MLOps and LLMOps experience, including CI/CD for ML and LLM applications, model registries, feature stores, experiment tracking, and safe rollout patterns
Added 5 hours ago
Senior Data Scientist
Scotiabank
Toronto, ON
Collaborate with Data engineering team to implement and manage MLOps best practices, establishing continuous integration, continuous delivery, and model monitoring pipelines to ensure…
Added 5 hours ago
A
Senior Machine Learning Engineer
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Implement appropriate MLOps and LLMOps practices, including model and prompt versioning, experiment tracking, evaluation, deployment automation, monitoring, rollback mechanisms, and…
Added 6 hours ago
ET
Senior Data Architect
Encore Technical Solutions Inc.
Toronto, ON · Greater Toronto Area, Canada
- Contract
Define data architecture standards that support GenAI, MLOps pipelines and LLM integrations
Added 6 hours ago
Senior Product Solutions Analyst
Scotiabank
Toronto, ON
Strong understanding of classical machine learning, model development, MLOps, and generative AI
Added 6 hours ago
O
DevOps IA
Onepoint
Montreal, QC
- Full-time
Partager avec l’équipe les meilleures pratiques en MLOps et en programmation assistée par l'IA.
Added 6 hours ago
W
DevOps IA
Wepoint
Montreal, QC
- Full-time
Partager avec l’équipe les meilleures pratiques en MLOps et en programmation assistée par l'IA.
Added 7 hours ago
C
Senior Consultant, AI Safety and Guardrails Engineering
CIBC
Toronto, ON
- Full-time
…deploy AI. Working closely with Machine Learning Operations (MLOps), platform engineering, architecture, cybersecurity, risk, and AI delivery teams, you’ll help integrate governance into…
Added 9 hours ago
IF
Data Engineer, Investments
iA Financial Group
Montreal, QC · Quebec, QC
- Full-time
Added 15 hours ago
A
Manager, Software Engineering
AltaML
Toronto, ON
- Full-time
Familiarity with AI/ML solutions and modern MLOps or software delivery practices
Added 17 hours ago
R|
Programmer
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Department / Research Program: CVIS/IDIGH (MLOps & AI Development)
Added 20 hours ago
A
Senior Machine Learning Developer, 3D Geometry & Multimodal AI
Autodesk
Montreal, QC
- Full-time
We are seeking a Senior Machine Learning Developer to design, develop, and deploy machine learning solutions for next-generation AI-powered capabilities within Autodesk products. The ideal…
Added 23 hours ago
RB
Senior AI/ML Engineer
Royal Bank of Canada
Toronto, ON
- Full-time
Experience with MLOps and model deployment pipelines.
Added 1 day ago
M
Technical Architect
Mphasis
Toronto, ON
- Contract
MLOps & DevOps: Vertex AI Pipelines, MLflow, CI/CD for AI Applications, Model Governance & Monitoring, Infrastructure as Code (Terraform)
Added 1 day ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Remote, Canada
- Full-time
- Remote
Contribute to the deployment and operationalization of analytical applications and models through appropriate development and MLOps practices.
Added 1 day ago
HD
Databricks Engineer
Hire DigITalent Inc.
Toronto, ON · Greater Toronto Area, Canada
- $90 to $110 CAD / hour
- Contract
Enable and support MLOps workflows, including data pipelines, feature engineering, and integration with AWS SageMaker for model training, deployment, and monitoring.
Added 1 day ago
ED
Customer Data Analyst - EN 055
Export Development Canada | Exportation et développement Canada
Ottawa, ON
- $65,172 to $86,898 CAD / year
- Full-time
Contribute to the deployment and operationalization of analytical applications and models through appropriate development and MLOps practices.

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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