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Senior Data Engineer
Babylist · Ottawa, Canada
About The Role
Join Babylist, a rapidly growing e-commerce platform, as a Senior Data Engineer. In this role, you will be responsible for building and scaling data pipelines, designing automated systems for data engineering, and collaborating with cross-functional teams to deliver end-to-end data solutions. You will have a direct influence on the scalability of our data systems during a pre-IPO growth moment. Enjoy a range of benefits, including flexible paid time off, parental leave, and health and wellness coverage.
- Architect and scale data engineering systems, focusing on automation and reliability.
- Collaborate cross-functionally to deliver end-to-end data solutions, from ingestion to advanced analytics.
- Develop and maintain machine learning pipelines, integrating them with the data infrastructure.
- Platform-minded — you see repetitive data engineering work as a system design problem and build the scaffolding to automate it
- Comfortable in AWS — you've provisioned and managed cloud data resources across EC2, S3, Lambda, and EKS
- Experienced building production AI/LLM systems — RAG pipelines, agentic workflows, tool integrations (e.g., MCP servers) that real users depend on, not just prototypes
- Able to work cross-functionally with analysts and data scientists — translating their needs into infrastructure that actually serves them
- Deeply fluent in Python and production-grade data engineering, with 7+ years building systems that hold up at scale
- Familiar with Snowflake or comparable modern cloud data warehouses
- You're genuinely excited about what AI can do - not just as a concept, but as something you want to get your hands on. At Babylist, every team uses AI daily, and we're looking for people who lean in
- You naturally reach for AI in your work — at Babylist, every team uses AI daily. You're already using it to move faster and improve your output, and you stay curious about what's coming next
- Proficient with Airflow and dbt — you understand data modeling and ETL principles, not just the tooling
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