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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 (url removed)
Huxley, a trading division of SThree Partnership LLP is acting as an Employment Business in relation to this vacancy | Registered office | 8 Bishopsgate, London, EC2N 4BQ, United Kingdom | Partnership Number | OC(phone number removed) England and Wales
