The Senior Data Engineer will own the company’s data platform, build and scale data pipelines, improve data quality and architecture, and collaborate with Product, Engineering, and leadership to identify opportunities for data, analytics, and AI. The role requires hands-on Azure Databricks, Python, SQL, Spark, data modelling, governance, reliability, stakeholder communication, and a commercial mindset.
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