Back
Mid-level, metro role with common Azure/Databricks skills and moderate employer brand increases applicant competition to medium.
Core Azure data engineering skills transfer across industries, though finance/regulatory domain knowledge moderately increases specificity.
Explicit 3–5 years requirement plus mandatory Azure ADF/Databricks/CI-CD skills and secured environment experience raise strictness to high.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead technical and data support for Finance and Actuarial Data Solution (FADS), including Azure cloud application suite management.
Drive application support, development, and Day 2 activities ensuring high-quality, efficient data engineering solutions using Azure Data Factory, Databricks, and related services.
Act as key SME, collaborate with business stakeholders, and lead future system growth and data platform migrations from on-premises to Azure cloud.
3-5 years experience in Azure Data Engineering or related field.
Proficiency with Azure Data Factory, Azure Data Lake Storage V2, Azure SQL, Azure Databricks, PySpark, Azure DevOps, and Power BI.
Graduate or Post-graduate degree in Computer Science, Statistics, Mathematics, Data Science, Engineering or related discipline.
Microsoft Azure certification is desirable but not mandatory.
Experienced in cloud migration projects, specifically moving data warehouses to Azure-based data platforms.
Strong understanding of data engineering lifecycle including ingestion, transformation, CI/CD pipeline development, and secure Azure environment management.
Comfortable engaging with internal and external stakeholders including UK Finance and software suppliers, with solid technical SME and analyst capabilities.