Lead cloud data engineering at Ipsos using Python, SQL, and GCP to build reliable pipelines for large-scale datasets. This role requires technical leadership.As Lead Cloud Data Platform Engineer, you will expand Ipsos DataHub through production-grade architecture and platform components. You will apply BigQuery, GCS, serverless pipelines, and distributed systems expertise.

The work includes reliability practices, incident response, CI/CD, and infrastructure as code. You will also mentor data engineers and guide technical decisions.Key Responsibilities:

Lead architecture, coding, testing,



and delivery of cloud data pipelinesEstablish reusable engineering standards and technical guardrailsOptimize warehouses and distributed systems for performance and reliabilityProvide code reviews, debugging, production support, and mentorshipDrive incident response, root-cause analysis, and corrective actionsRequirements:

Eight-plus years in data or platform engineeringBachelor's degree in computer science or related fieldProficiency in Python and advanced SQL knowledgeHands-on GCP experience with BigQuery and GCSProduction experience with large-scale pipelines and distributed systemsBring cloud architecture, data reliability, Python, SQL, and technical leadership to Ipsos DataHub’s engineering work.

📌 Lead Cloud Data Platform Engineer (Winnipeg)
🏢 Ipsos in Canada
📍 Winnipeg