Build scalable cloud data pipelines at Ipsos using Python, SQL, and Google Cloud services. Work on the Ipsos DataHub platform supporting large-scale datasets.
As a Senior Data Engineer, you will expand and optimize data pipelines and architecture within Ipsos DataHub. You will design serverless solutions, develop warehouses, and assemble information from disparate sources. The work also includes AI and LLM-based tools, production migration, and infrastructure improvement.
Key Responsibilities: Design, code, and test cloud-based data pipelines
Develop cost-optimal warehouses for complex datasets
Assemble disparate data using Python and SQL
Collaborate with stakeholders on needs and goals
Migrate development code into production and optimize processes
Requirements: Five or more years of skilled data engineering experience
Bachelor’s degree in computer science or related field
Proficiency in Python and advanced SQL knowledge
Hands-on GCP experience, including BigQuery and GCS
Experience with AI or LLM tools and Git
Apply senior data engineering expertise across Python, SQL, GCP, and serverless pipelines at Ipsos DataHub.

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📌 Senior Cloud Data Engineer (British Columbia)
🏢 Ipsos in Canada
📍 British Columbia