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Metro location and generalist senior data-engineer title attract moderate competition.
Core data engineering skills are transferable, but financial controls and secured Azure environment add industry-specific bias.
Mandatory Azure/Databricks/PySpark skills and secured financial environment increase screening rigor.
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Maintain and enhance operational controls to improve overall control environment and reduce M&G plc's operational risk.
Build and operationalize data solutions using Azure services such as Azure Data Factory, Databricks, Data Lake Gen 2, and Azure SQL.
Migrate on-premise data warehouses to Azure cloud platforms and design data engineering functions including ingestion and transformations.
Experience migrating on-premise data warehouses to Azure cloud platforms and strong proficiency in Azure data services (ADF, Databricks, Data Lake Gen 2, Azure SQL).
Proficient in Py-Spark and experienced in relational and dimensional modelling including big data technologies.
Experience working with secured Azure environments using Azure KeyVault, Service Principals, and Managed Identities.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in capacity planning and performance tuning for Azure Data Factory and Databricks pipelines.
Capable of stakeholder management including requirement gathering, process adherence, and documentation.
Comfortable working with offshore teams and participating fully in project lifecycle activities (requirement analysis, testing, release).