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Metro location and popular Azure data role increase applicants, but seniority and specialized platform skills reduce density.
Medium—data engineering transferable across industries, but Azure platform and financial domain increase specificity.
High due to mandatory Azure Databricks/ADF skills, migration experience, security practices, and leadership expectations.
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Lead and deliver data engineering projects using Azure services including Azure Data Factory, Azure Databricks, and Azure Data Lake Gen 2.
Own and enhance data solutions ensuring alignment with architectural standards and operational control improvements to mitigate M&G plc's operational risk.
Provide technical leadership and guidance to a team of data engineers, manage stakeholder interactions and collaborate across onshore and offshore teams throughout project lifecycles.
Proven experience leading data engineering teams and designing data ingestion and transformation pipelines using Azure Data Factory and Databricks.
Experience migrating on-premise data warehouses to Azure cloud, and implementing modern lakehouse/datawarehouse architectures.
Familiarity with secured Azure environments including Azure KeyVaults, Service Principals, and Managed Identities.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in managing cross-functional and geographically distributed data engineering teams in a structured project environment.
Strong hands-on expertise with Azure data platform services and cloud migration projects, focused on performance tuning and capacity planning.
Comfortable engaging with business stakeholders to gather requirements and ensure alignment with process and documentation standards.