Data Engineer, Investments

iA Financial Group (Industrial Alliance)

Data Engineer optimizing data pipelines on Google Cloud platform for financial services. Collaborating with various teams to build scalable and AI-driven data architecture in a supportive environment.

Posted 7/28/2026full-timeMontreal, Quebec • 🇨🇦 CanadaMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and developing high-performance data pipelines using Google Cloud Platform services, with a strong focus on data governance, security, and automation through Infrastructure as Code. Proficient in collaborating with cross-functional teams to translate business needs into effective technical solutions.

Highest-signal resume keywords

Data EngineeringETL/ELT DevelopmentBigQueryPipeline Orchestration (Prefect)Infrastructure as Code (Terraform)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingDistributed Processing (Spark)Cloud Analytics EnvironmentsCI/CD (GitHub Actions)Data GovernanceData QualityData TransformationData Lakehouse ArchitecturesMicroservices-Oriented ArchitecturesAutomated Testing

Soft Skills

Analytical SkillsAutonomyRigorFocus on QualityCollaboration

Tools & Technologies

Google Cloud PlatformCloud StorageDataprocCloud RunVS CodeGitHubPrefectTerraform

Certifications & Qualifications

Degree in Computer ScienceDegree in Software Engineering

Industry Keywords

Data GovernanceCloud Access ManagementAgile EnvironmentData PipelinesData Analytics

Tech Stack

Tools & technologies

AirflowBigQueryCloudETLGoogle Cloud PlatformHadoopMicroservicesSparkTerraformVault

About the role

Key responsibilities & impact

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)
Participate in the implementation of modern data lakehouse architectures.
Design and orchestrate data processing pipelines using Prefect.
Implement robust, observable, and resilient workflows.
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).
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.
Implement DevOps/DataOps practices: Automated testing Pipeline monitoring Error handling and alerting Ensure data quality, traceability, and governance.
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.

Requirements

What you’ll need

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.

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