2 of 2 Permanent Azure Data Engineer Jobs in London

global advisory, broking, and solutions company. We work with clients across a wide range of industries, helping them manage risk, optimise benefits, and improve performance. As a Fabric Data Engineer, you will play a key role in leveraging Microsoft Fabric, Azure, and Python to design and build advanced data solutions in the … insurance domain. Location: London, UK Role: Hybrid Workstyle (Full-time) Role Overview: As a Fabric Data Engineer at WTW, you will take ownership of developing and optimising data pipelines, workflows, and ETL processes. You will work with cutting-edge technologies to ensure that data is efficiently processed, stored, and made accessible for … analysis. This role is a key part of our data engineering team and requires specific expertise in Microsoft Fabric, Azure, and Python. Responsibilities Lead the design and development of scalable data pipelines and ETL processes using Microsoft Fabric or Azure technologies. Manage and optimise notebooks, pipelines, and workflows to enhance the performance More ❯

Data Engineer - Azure Specialist London - 5 Days a Week £80,000 - £100,000 + 10% Bonus Company Our client is a well-established insurance group , recognised for its commitment to innovation and technology-driven transformation. They are seeking a skilled Data Engineer (Azure Specialist) to join their high … performing technology team. This is a fantastic opportunity to work on mission-critical projects with visibility across the entire business, while shaping the group's data strategy and infrastructure for the future. Responsibilities Design, develop, and own robust, high-performance data pipelines and APIs. Build scalable data infrastructure using Azure technologies, SQL … and dbt. Assemble and manage large, complex datasets to meet business requirements. Define and document cloud solution architectures, technical designs, and testing processes. Take ownership of data quality and drive opportunities for continuous improvement. Partner with stakeholders across the organisation to support business intelligence and data science initiatives. Troubleshoot and resolve data management issues More ❯