Azure AI Data Engineer

Overview

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

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 OC387148 England and Wales