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Senior Data Engineer (Streaming + AI Systems)

Greater Toronto Area, Ontario, Canada💼 Full-time🗓 2026-06-19 → 2026-09-11

Core

Design and evolve real-time data systems and scalable architecture supporting operational intelligence and predictive modelling for an industrial/infrastructure operator.

Role type

Senior individual contributor data engineer (streaming + AI systems)

Builds

Real-time and batch data pipelines, scalable lakehouse architecture, production ML pipelines, and infrastructure

Domain

Industrial/Infrastructure, Data Engineering, Applied AI/Statistics

Deliverable

production ML models | product features | infrastructure

Required skills

Real-time data streaming, Distributed data processing, System design, ML pipeline productionization, Statistical modelling, Infrastructure as Code (IaC)

Preferred skills

None stated

Technologies

AWS (Glue, Lambda, ECS, S3), Apache Spark, Kafka, Terraform, Delta Lake

Responsibilities

Architect and operate real-time and batch data pipelines, Lead the evolution of a scalable lakehouse architecture, Design and productionize end-to-end ML pipelines, Apply statistical methods to high-impact business problems, Own infrastructure design using IaC, Drive performance, reliability, and observability across data systems

Seniority

Senior, hands-on IC

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