Gather, ingest, transform, and serve data across the Energy business - building the pipelines, lakehouses, semantic models, and OneLake medallion structures in the data platform (Dataflows Gen2, Notebooks in PySpark and SQL, and Fabric Pipelines) that make data reliably available for reporting, AI features, and downstream applications. It combines hands-on data work (gathering data, building and consuming APIs, and delivering on a modern data platform) with the innovation work of finding better ways to operate the business through a business ontology and the applications, agents, and tools built on top of it.