Our client are building a custom AI platform from the ground up - no off-the-shelf solutions, no shortcuts. To power this, they need a skilled Azure AI Data Engineer to design and build robust ETL pipelines that enable seamless communication between structured and unstructured data systems. What You'll Be Doing Architecting and developing scalable ETL pipelines using Azure Data Factory, Synapse, and related tools. Integrating structured (SQL, relational) and unstructured (NoSQL, blob storage, document stores) data sources. Enabling real-time and batch data flows to support AI-driven applications. Collaborating with AI engineers to ensure data readiness for model training and inference. Driving best practices in data governance, security, and performance optimisation. What We're Looking For Strong experience with Azure cloud services, especially Data Factory, Synapse, Databricks, and Azure Functions. Proficiency in Python, SQL, and data transformation techniques. Experience working with both structured and unstructured data sources. Understanding of AI/ML data requirements and how to prepare data for intelligent systems. Based in or near London, with the ability to be onsite once a week. Why Join Us? Be part of a visionary team building a fully custom AI platform. Work in a greenfield environment with full ownership of your solutions. Hybrid flexibility with a collaborative London office. Competitive salary, benefits, and a culture of innovation. Ready to engineer the data backbone of a next-gen AI platform? Apply now or get in touch to learn more. To find out more about Huxley, please visit TPBN1_UKTJ