Ingénieur(e) Data

BEEM•Montreal, QC

3d•Hybrid

About The Position

We're in a strong growth phase, driven by real client demand and growing our team of data and AI experts. We're looking for someone who is deeply technical, thinks in systems and wants to make technical decisions that have lasting impact. This role goes beyond connector development: you'll design pipeline architecture, define our data modeling standards, orchestrate data flows and evolve the BEEM platform to keep up as we scale. You'll work closely with our ADS consulting team to validate architectural decisions during client mandates and contribute to product evolution. This isn't a day-to-day client-facing role: the priority is the robustness and long-term quality of what we build. This role is posted as Data Engineer, with the internal title of Data Specialist, Architecture track. Permanent full time hybrid position, minimum 2 days per week in the office. This role is for you if you have significant experience in data engineering, you have opinions on how good data architecture should be built, and you want real influence over the technical direction of a growing scale-up.

Requirements

Proven, significant experience in data engineering
Strong Python and advanced SQL skills
Solid 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)
Comfortable with Git, code review and rigorous technical standards
Bilingual FR/EN communication

Nice To Haves

Experience at a consulting firm or in a multi-client environment
Knowledge of Power BI or other BI tools
Experience with lakehouse or data mesh architectures
Interest in applied generative AI (RAG, MCP, agents)
Experience implementing DataOps or data observability practices
You enjoy sharing knowledge and genuinely care about growing the people around you

Responsibilities

Design and evolve the architecture of our data pipelines (ELT/ETL) on AWS
Define and maintain our data modeling standards using dbt (raw, staging, marts layers)
Orchestrate data flows and ensure their reliability and observability in production
Make and document architectural decisions on AWS infrastructure (S3, Glue, Lambda, Redshift, Step Functions)
Collaborate with ADS consultants to validate technical decisions during client mandates
Contribute to BEEM product evolution: propose improvements, evaluate new technologies, lay technical foundations for new features
Help level up the team on architecture topics and best practices