Ingénieur Data concevant l’architecture de pipelines AWS et la modélisation dbt pour la plateforme SaaS analytique de BEEM. Collaboration avec les consultants ADS et évolution du produit data/IA.
Responsibilities
Design and evolve the architecture of ELT/ETL data pipelines on AWS
Define and maintain dbt modeling standards across the raw, staging, and marts layers
Orchestrate data flows and ensure their reliability and observability in production
Make and document architectural decisions regarding AWS infrastructure
Collaborate with the ADS team to validate technical decisions throughout client engagements
Contribute to the evolution of the BEEM product by proposing improvements and evaluating new technologies
Establish the technical foundations for new features
Help the team develop its expertise in architecture and best practices
Requirements
Significant, proven experience in data engineering
Proficiency in Python and advanced SQL
Strong experience with AWS and its data services (S3, Glue, Lambda, Redshift, or equivalent)
Proficiency with dbt for layered data modeling
Experience with an orchestration tool (Airflow, Step Functions, Prefect, or equivalent)
Experience working with Git, code reviews, and rigorous technical standards
Bilingual communication skills in French and English
Experience in a consulting firm or multi-client environment
Knowledge of Power BI or other BI tools
Experience with lakehouse or data mesh architectures
Interest in applying generative AI to data (RAG, MCP, agents)
Experience implementing DataOps practices or data observability
Benefits
3 weeks of flexible paid vacation, plus 1 week of paid holiday leave during the holiday season, and 2 flexible unpaid weeks
5 wellness days per year and unlimited sick leave
Flexible remote work
Group insurance through Beneva
Telemedicine through Dialogue
Employer-matched RRSP through iA Financial Group
Personal MacBook
Annual reimbursed budget for training and professional development
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