Senior Cloud Data Engineer
Summary
Senior data engineer building and optimizing cloud-based data pipelines and cost-efficient warehouses on Google Cloud (BigQuery, GCS) for Ipsos DataHub, using Python and SQL, plus serverless design, production migration, and AI/LLM-based tooling.
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 professional 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.