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iA Financial Group (Industrial Alliance)

Data Engineer – Investments

iA Financial Group (Industrial Alliance)

Data Engineer developing scalable data pipelines on Google Cloud Platform for iA Financial Group. Collaborating with multidisciplinary teams to deliver high value-added solutions and optimize data architecture.

Posted 7/9/2026full-timeQuebec • 🇨🇦 CanadaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowBigQueryCloudETLGoogle Cloud PlatformMicroservicesSpark

About the role

Key responsibilities & impact
  • design, develop, and maintain high-performance data pipelines on Google Cloud Platform
  • leverage GCP services such as BigQuery, Cloud Storage, Dataproc, Cloud Run
  • orchestrate data processing pipelines using Prefect
  • develop in modern environments and manage source code using GitHub
  • prepare, transform, and structure data for analytics and AI use cases
  • implement DevOps/DataOps practices
  • work collaboratively with Product Owners, Architects, Data Scientists

Requirements

What you’ll need
  • 5 to 10 years of experience in data engineering or ETL/ELT development
  • degree in computer science or software engineering
  • masters data modeling concepts
  • strong experience with BigQuery and cloud analytics environments
  • distributed processing (Spark / Dataproc)
  • expertise in pipeline orchestration (e.g., Prefect, Airflow, or equivalent)
  • comfortable with modern development practices
  • familiar with microservices-oriented architectures
  • understands data governance, security, and cloud access management
  • demonstrates strong analytical skills
  • speaks excellent French, intermediate English

Benefits

Comp & perks
  • 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

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools
Data EngineeringETL DevelopmentData ModelingDistributed ProcessingPipeline OrchestrationCloud AnalyticsDevOps PracticesData TransformationSource Code ManagementMicroservices Architecture
Soft Skills
Analytical SkillsCollaboration