Lead & Scale Scientific Data Engineering for AI Platforms

TetraScience is seeking a hands-on Data Engineering Leader to head a team of Scientific Data Engineers in Cambridge. You will design data models, build scalable pipelines, and deliver production-grade solutions for pre-clinical data using Python, SQL, and modern tooling.

You will mentor engineers, collaborate with Product Managers and Solution Architects, drive agile delivery, ensure test coverage, and ship end-to-end data applications and dashboards with React, Streamlit, and Jupyter.

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