Reconcile heterogeneous energy data sources and put applied AI into production at a Quebec-based climate software company.
- Python
- SQL
- Cloud Data Warehouse
- MLOps
Our client is a Montreal-based software company. Its SaaS platform helps real estate portfolio managers, utilities and engineering consultancies decide and act on building decarbonization.
Context
Energy data is the backbone of the product: consumption readings, building characteristics, tariffs, regulatory frameworks. Many sources, few shared formats, and a simulation engine that needs clean inputs to cross-check hundreds of scenarios per building.
Headcount grew by roughly 83% over the past year, and the company is opening a data and applied AI workstream as the platform scales.
The role
- Build and harden the pipelines that ingest and reconcile energy data sources.
- Model data so it serves both the product and analytics.
- Ship applied AI components to production: document extraction, enrichment, decision support.
- Lay the foundations: data quality, observability, cost control, reproducibility.
What we are looking for
- 5+ years in data engineering, ML engineering or applied AI.
- Strong Python and SQL, comfortable with a cloud data warehouse.
- Real production experience, not prototyping only.
- Exposure to LLMs or agentic systems in production is a genuine plus.
- Professional French required, technical English appreciated.
- Based in or around Montreal, authorized to work in Canada.
Good to know
- The exact scope (data platform, ML, generative AI) is clarified during the first conversation with Abbeal.
Details
- Based in Montreal, Quebec.
- Two possible formats: direct hire with the client, or contracting through Abbeal.
- Compensation based on experience and engagement model.
- Short process: one qualification call with Abbeal, then a meeting with the client's technical team.
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Data / AI Engineer — Building Decarbonization SaaS — Montreal in Montréal employer: Abbeal
Abbeal is an exceptional employer, offering a dynamic work environment within the AI Factory of a leading Canadian bank in Montreal. With a strong focus on employee growth and collaboration, team members benefit from hybrid work arrangements, opportunities to engage with cutting-edge AI technologies, and a culture that values innovation and continuous improvement. Join us to be part of a dedicated team that is shaping the future of banking through advanced AI solutions.
