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 pipelines

Establish reusable engineering standards and technical guardrails

Optimize warehouses and distributed systems for performance and reliability





Provide code reviews, debugging, production support, and mentorship

Drive incident response, root-cause analysis, and corrective actions

Requirements

Eight-plus years in data or platform engineering

Bachelor's degree in computer science or related field

Proficiency in Python and advanced SQL knowledge

Hands-on GCP experience with BigQuery and GCS

Production experience with large-scale pipelines and distributed systems

Bring 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