Lead Azure Databricks data engineering at Gore Mutual, designing scalable lakehouse infrastructure and production pipelines. Collaborate across teams to deliver trusted enterprise data.This lead data engineering role supports the Databricks lakehouse, the enterprise single source of truth. You will guide data infrastructure development across policy, billing, claims, and finance data. The work includes data modeling, Azure services, Python, Spark, SQL, and production operations. You will collaborate with data scientists, product owners, IT, and business stakeholders.Key Responsibilities: Design scalable, reliable,



and resilient lakehouse infrastructureBuild configuration-driven pipelines across business data domainsImplement data quality checks within production pipelinesOptimize pipeline performance, flow, and resource usageProvide technical leadership and mentor other engineersRequirements: Five to eight years of relevant data engineering experienceBachelor’s or master’s degree in a related fieldHands-on Azure Databricks and Microsoft Azure knowledgeProficiency in Python, Spark concepts, distributed systems, and SQLExperience with CI/CD, TDD, observability, and incident responseApply your Azure Databricks, Python, Spark, and SQL expertise to lead reliable data platform delivery at Gore Mutual.#J-18808-Ljbffr

📌 Lead Azure Databricks Data Engineer (Cambridge)
🏢 goremutualinsurance
📍 Cambridge