Designs, builds and operates the pipelines, lakehouse tables and data products that feed reporting, analytics and AI — ingesting from SAP, commerce and external sources into Azure, GCP or AWS platforms with Databricks, Spark, SQL and Python, with CI/CD and data-quality controls. Success is judged on pipelines that run reliably and cheaply, data that is trusted and governed, and products delivered on time to analysts, data scientists and product owners.
8 of the role's 13 target skills, the ones that weigh most
Data Engineering
Levels and target skills come from Saganom's role library: 129 consumer-goods roles, each checked against the published ladders of nine professional bodies. A self-check is a starting point, not a verdict; in the app, a manager or colleague confirms a level when you ask them.
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