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Tier-1 brand, metro location, mid-level generalist data role with broad Azure skillset increases candidate competition.
Azure data engineering skills are transferable, but finance/actuarial domain knowledge increases background sensitivity.
Explicit 3-5 years requirement and mandatory Azure Data engineering tools and pipelines create strict shortlisting filters.
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Lead technical support and development for M&G plc Finance and Actuarial Data Solution (FADS) Azure cloud applications.
Own design and implementation of data engineering, ingestion, and transformation using Azure Data Factory, Databricks, and related cloud technologies.
Collaborate with business and stakeholders to ensure requirements are understood and to support future system growth and process adherence.
3-5 years of experience in Azure Data Engineering.
Graduate or post-graduate degree preferably in Computer Science, Statistics, Mathematics, Data Science, Engineering or related discipline.
Hands-on experience with Azure Data Factory, Azure Data Lake Storage V2, Azure SQL, Azure Databricks, PySpark, Azure DevOps, and Power BI.
Experience migrating on-premise data warehouses to Azure cloud platforms and working in secured Azure environments using KeyVaults, Service Principals, and Managed Identities.
Experienced in end-to-end data platform management including ingestion, transformation, and visualization within Azure ecosystem.
Capable of being a technical and data subject matter expert, engaging with diverse stakeholders including UK Finance and external suppliers.
Skilled in supporting application lifecycle including CI/CD pipelines, risk and controls compliance, and collaborative offshore team development.