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Yeah, in my org we have a dedicated data engineering team that owns the pipeline and production data systems plus an analytics team that owns reporting and making data available to non-technical data consumers. That leaves complex research work for data scientists who are (in theory, anyway) building on top of stable data infrastructure and good data sources and free from ad hoc reporting work.

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