Greater Toronto Area, Canada | Posted on 06/19/2026 - Salary Up to $150,000 CAD + Bonus + Perks We’re partnered with a capital-backed operator in the industrial / infrastructure space that’s investing heavily in building a modern data platform from the ground up. They’re hiring a Senior Data Engineer to lead the design and evolution of real-time data systems and scalable architecture supporting both operational intelligence and predictive modelling. This is a high-ownership role at the intersection of data engineering, applied statistics, and production AI.

You’ll operate as a senior individual contributor with end-to-end responsibility across pipelines, platform design, and ML enablement.

Why This Role Is

Compelling - True ownership of the data platform: architecture, pipelines, and production ML systems.

- Direct impact on operational performance and financial strategy, not just analytics.
- Senior-level autonomy with influence over technical direction and tooling choices.
- Lean, execution-focused team where senior engineers build and ship complete systems.
- Long-term stability paired with a builder environment and modern stack. Scope and Responsibilities - Architect and operate real-time and batch data pipelines (Kafka, Spark, AWS ecosystem).
- Lead the evolution of a scalable lakehouse architecture for analytics and ML workloads.




- Design and productionize end-to-end ML pipelines, including feature engineering and real-time inference.
- Apply statistical methods (time-series, regression, anomaly detection) to high-impact business problems.
- Partner with stakeholders across operations, finance, and product to translate complex requirements into robust systems.
- Own infrastructure design using IaC (Terraform or equivalent) to ensure reproducibility and scale.
- Drive performance, reliability, and observability across data systems.
- Evaluate and introduce new tools and patterns across data engineering and applied AI.

Requirements Tech Setting - AWS (Glue, Lambda, ECS, S3, and related services) - Apache Spark + lakehouse frameworks (Delta or equivalent) - Kafka / streaming architectures - Terraform (Infrastructure as Code) What They’re Looking For - Proven experience building and scaling data platforms in production environments.

- Deep expertise in streaming systems and distributed data processing.
- Solid system design skills with the ability to operate at both architecture and implementation levels.
- Solid grounding in statistical modelling and real-world applications.
- A bias toward ownership, pragmatism, and building systems that actually get used.

📌 Full time (Toronto)
🏢 Calliere Group
📍 Toronto