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About the role

  • Data Engineer responsible for designing and optimizing data pipelines for iA Financial Group. Collaborate with multidisciplinary teams to deliver impactful data solutions.

Responsibilities

  • Design, develop and maintain high-performance, secure, and scalable data pipelines (ETL/ELT)
  • Contribute to the implementation and evolution of data management solutions (data warehouses, data marts, data lakes)
  • Prepare, transform and structure data required for training supervised machine learning models
  • Develop, test, deploy and productionize machine learning and AI models in cloud environments (Azure, GCP)
  • Establish and maintain DevOps and MLOps practices, including continuous integration, pipeline monitoring and model reproducibility
  • Document delivered solutions and contribute to their sustainability and continuous improvement

Requirements

  • Minimum 7 years of relevant experience in data engineering, ETL development, or related fields
  • University degree in computer science or a related field
  • Strong expertise in designing and orchestrating ETL/ELT pipelines using tools such as Azure Data Factory, with excellent SQL skills
  • Extensive experience with cloud databases, notably Snowflake, and with Azure and GCP platforms
  • Familiarity with DevOps and MLOps practices, including CI/CD pipelines
  • Proficiency in French and intermediate knowledge of English

Benefits

  • Flexible group insurance
  • Competitive pension/retirement plan
  • Employee share purchase plan
  • Vacation plan and wellness and personal development days
  • Telemedicine
  • Employee and family assistance program
  • Ergonomic furniture program
  • Performance bonuses
  • Discounts on iA products

Job title

Job type

Full Time

Experience level

SeniorLead

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

AzureCloudETLGoogle Cloud PlatformSQLTypeScript

Location requirements

HybridQuebecCanada

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