Build Livingston’s GCP data infrastructure as a Senior Data Engineer, designing end-to-end pipelines for high-volume logistics operations. Work hands-on across cloud data engineering and architecture.

Reporting to the Director, IT, this senior role supports Livingston’s Data & Analytics function. You will build ETL and ELT pipelines, optimize warehouse and lakehouse structures, and enable reporting, forecasting, advanced analytics, and AI. Collaboration spans Operations, Supply Chain Planning, Finance, internal IT, and Business Intelligence teams.

Key Responsibilities

Design scalable pipelines from TMS, ERP, EDI, and telematics sources

Build infrastructure for near-real-time shipment and inventory visibility

Establish metadata, validation, reconciliation, and data quality processes

Optimize cloud pipeline reliability,



latency, scalability, and cost

Mentor engineers and contribute to standards, documentation, and reviews

Requirements

Six years of related data engineering experience

Solid SQL and programming proficiency, including Python or Apache

Hands-on GCP pipeline building and orchestration experience

Experience with cloud platforms and services such as BigQuery or Composer

Working knowledge of streaming technologies such as Kafka or Pub/Sub

Apply senior GCP data engineering expertise to Livingston’s logistics pipelines, governance, architecture, and near-real-time data products.

📌 Senior GCP Data Engineer (Winnipeg)
🏢 Livingston International
📍 Winnipeg