Data Engineer — AI-Driven Pipelines on Microsoft Fabric
Summary
Design, build, and optimize data pipelines at Willis Towers Watson using Microsoft Fabric, Azure Synapse, and Data Factory — writing PySpark notebooks, managing Data Lakes, and integrating AI/LLM models and Copilot agents into data workflows alongside data, AI, and business teams. Hybrid work in London.
Willis Towers Watson is seeking a Data Engineer to design, build and optimize data pipelines using Microsoft Fabric, Azure Synapse, and Data Factory. You will develop PySpark notebooks, manage Data Lakes, and integrate AI/LLM models and Copilot agents into data workflows.
You’ll collaborate with data experts, AI engineers and business teams to deliver scalable, compliant data solutions across cloud platforms, while enjoying hybrid work options and opportunities for growth.