About The Company iA Financial Group is a leading financial services organization with a rich history spanning over 125 years. With more than 8,000 employees, we serve over four million clients and 25,000 advisors across Canada and the United States. Our portfolio includes insurance, savings, and wealth management products, and we manage assets exceeding $200 billion.

We are committed to technological innovation, investing half a billion dollars to maintain our position at the forefront of the industry. Our success is built on investing in our people, fostering leadership, and nurturing a culture of continuous improvement and innovation. iA Financial Group comprises multiple entities including iA Services financiers, iA assurance auto et habitation, iA Gestion privée de patrimoine, and others, working together to provide comprehensive financial solutions.

About The Role

As a Data Analyst specializing in Google Cloud Platform (GCP), you will be instrumental in designing, industrializing, and optimizing modern data pipelines to support our AI-driven data architecture. This role involves working closely with cross-functional teams to deliver high-impact data solutions that drive business value. You will be responsible for building scalable and secure data pipelines, leveraging GCP services such as BigQuery, Cloud Storage, Dataproc, Cloud Run, and Cloud Workstations.

Your role will also encompass pipeline orchestration, code development, automation, and collaboration with data scientists and business stakeholders to enable analytics and AI initiatives. This position offers an excellent opportunity to develop your skills in a supportive environment focused on innovation, quality, and continuous learning.

Qualifications

- 5 to 10 years of experience in data engineering, ETL/ELT development, or related fields
- Degree in computer science, software engineering, or equivalent




- Strong knowledge of data modeling concepts such as Data Vault and star schema
- Expertise in Google Cloud Platform services, especially BigQuery and distributed processing with Spark/Dataproc
- Experience with pipeline orchestration tools like Prefect or Airflow
- Proficiency with modern development practices including GitHub, GitHub Actions, CI/CD, and Infrastructure as Code using Terraform
- Familiarity with microservices architectures such as Cloud Run
- Understanding of data governance, security, and cloud access management (IAM)
- Strong analytical skills and solution-oriented mindset
- Ability to work autonomously with rigor and focus on quality
- Experience working in agile, multidisciplinary teams
- Excellent French communication skills, both spoken and written
- Intermediate English proficiency for presentations and meetings with stakeholders
- Preferred assets: experience in production GCP environments, knowledge of MLOps/DataOps practices, familiarity with investment and financial data, GCP Professional Data Engineer certification

Responsibilities

- Design, develop, and maintain secure, scalable, and high-performance data pipelines (ETL/ELT) on GCP
- Utilize GCP services including BigQuery, Cloud Storage, Dataproc, Cloud Run, and Cloud Workstations for data processing and storage
- Implement modern data lakehouse architectures and orchestrate data workflows using Prefect
- Develop code in modern environments and manage source control with GitHub




- Implement CI/CD pipelines using GitHub Actions and automate infrastructure deployment with Terraform
- Prepare and transform data to support analytics and AI use cases, collaborating with data scientists
- Apply DevOps and DataOps best practices including automated testing, pipeline monitoring, and error handling
- Ensure data quality, traceability, and governance across data solutions
- Collaborate with product owners, architects, data scientists, and business partners to translate business needs into technical solutions
- Document data solutions and contribute to their continuous improvement
- Participate in an on-call rotation one week per month with additional compensation

Benefits

- Innovative and GCP-first data environment
- Strong culture of collaboration between IT, data, and business teams
- Opportunities for continuous learning, experimentation, and professional growth
- Flexible hybrid work environment
- Comprehensive perks including flexible group insurance, competitive retirement plan, employee share purchase plan
- Vacation and wellness/personal development days
- Access to telemedicine and employee and family assistance programs
- Ergonomic equipment program
- Performance bonus and discounts on iA products

Equal Opportunity iA Financial Group is an equal chance employer committed to fostering an inclusive and diverse workplace. We welcome applications from all qualified individuals regardless of ethnic origin, nationality, language, religious beliefs, gender, sexual orientation, age, marital status, family situation, or physical or mental disability. We strive to provide a recruitment process that is accessible and supportive to all candidates. If you require assistance during the recruitment process, please contact us for accommodation. We are dedicated to creating a respectful and equitable environment where every employee can thrive.

📌 Data Analyst (Canada)
🏢 WIRAA
📍 Canada