Data Engineer, Investments
Hybrid · Montréal, Quebec, Canada or Quebec, Canada
Job Summary
Data Engineer, Investments at iA Financial Group focusing on designing, industrializing, and optimizing data pipelines on Google Cloud. Responsibilities include building scalable ETL/ELT pipelines on GCP (BigQuery, Cloud Storage, Dataproc), implementing data lakehouse architectures, orchestration with Prefect, CI/CD with GitHub Actions, and IaC with Terraform. Collaboration with product teams, data scientists, and business partners; emphasis on data governance, security, and governance. Requirements include 5-10 years in data engineering, a degree in a relevant field, strong GCP and Spark/Dataproc experience, and proficiency in French and English. Benefits include a hybrid work environment in the Quebec/Montreal area and a focus on innovation and collaboration.
Required Qualifications
- 5 to 10 years of experience in data engineering, ETL/ELT development or related field
- Holds a degree in computer science, software engineering, or an equivalent field
- Masters data modeling concepts (Data Vault, star schema, etc.)
- Strong experience with BigQuery and cloud analytics environments
- Experience with distributed processing (Spark/Dataproc)
- Pipeline orchestration experience (Prefect, Airflow, or equivalent)
- Proficiency with modern development practices: GitHub, GitHub Actions, CI/CD
- Infrastructure as Code (Terraform)
- Familiarity with microservices architectures (Cloud Run or equivalent)
- Understanding of data governance, security, and IAM
- Strong analytical skills and ability to propose robust solutions
- Autonomy, rigor, and focus on quality
- Experience in an agile, multidisciplinary environment
- Proficiency in French (spoken and written) and a working level of English
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