Data Engineer

Our client, an established financial services company, are looking to hire a Data Engineer to join the team. You’ll take a hands-on role developing a cloud-based Lakehouse platform on Azure, helping analytics teams make faster and better-informed commercial decisions. They’re looking for someone who enjoys both the technical build and working closely with the business., * Develop and enhance a central Lakehouse platform supporting pricing, risk and performance analytics

• Build, test and deploy ELT pipelines and data products with strong governance
• Assess the impact of change on the data model and handle new requests and incidents
• Work with architects, analysts and engineers to maintain data standards and quality
• Provide trusted, well-structured data for MI and reporting
• Partner with data scientists to productionise ML models
• Deliver improvements in an Agile/DevOps environment

• 5+ years in data engineering and building data pipelines
• Strong Lakehouse and data management knowledge
• Hands-on Azure experience: Data Factory, Databricks, Storage, DevOps
• Strong Python and SQL
• Dimensional modelling (star schema) for Power BI
• Insurance or financial services data, MI or reporting experience
• Solid grasp of CI/CD and data operations
• Confident communicator, well organised and commercially minded

Nice to have

• ML model deployment experience
• Infrastructure-as-code tooling