Job Description As a Data Platform Engineer , you’ll be at the heart of building and evolving our modern data platform, powered by Azure Data Factory, Azure SQL, Databricks, Synapse Analytics, and AI Foundry. This platform is critical to how we deliver analytics, insights, and AI capability across the organisation. You’ll ensure the platform is reliable, scalable, and high-performing , enabling trusted data delivery at pace, while playing a key role in supporting AFCA’s growing data and AI ambitions. Staying ahead of cloud-native innovation , you’ll continuously look for ways to enhance architecture, drive automation, and improve efficiency, helping future-proof our platform and keep us aligned to our enterprise vision. What you’ll be doing: Design, build and maintain scalable data pipelines, lake and lakehouse architectures across Azure (ADF, Databricks, Synapse, Azure SQL) Develop robust batch and streaming pipelines to deliver reliable, high-quality data across the organisation Drive best practice through CI/CD, infrastructure as code, automated testing and observability Monitor and optimise performance, cost and reliability (clusters, jobs, queries and governance) Contribute to data models and architectures that enable analytics and AI/ML use cases Ensure solutions align with security, privacy and data governance standards Partner closely with data analysts, engineers, scientists and AI teams to improve platform capability and developer experience
