4 of 4 Permanent Azure Data Engineer Jobs in the UK excluding London

Data Engineer - Azure We are seeking a Data Engineer to join the Analytics department within the public sector in Brighton. This role focuses on designing, building, and maintaining robust data pipelines and platforms to support organisational objectives. Client … Details Data Engineer - Azure The hiring organisation is a part of the public sector, committed to delivering high-quality services. It is a medium-sized organisation known for its structured approach and focus on analytics to drive impactful decision-making. Description Data ...

Senior Data Engineer – Azure ** 5 days a week onsite - Central London ** £70,000 - £80,000 per annum About the Role One of the UK's leading insurers are looking for a Senior Data Engineer with a primary focus on Azure to lead the design and implementation of scalable, enterprise-grade data solutions. This role will play a key part in building real-time and ETL/ELT data pipelines, maintaining and optimising our data warehouse, and delivering advanced analytics through Power BI. ...

Azure Data Engineer - £70K (£5K Car allowance) Rugby based - Mostly remote with monthly trips to office I'm supporting a fast-moving organisation undergoing major data transformation, and they're looking for a skilled Azure Data Engineer to help build modern, scalable cloud data solutions. If you thrive on solving complex data challenges and working with the latest Azure technologies, this one's for you. What You'll Do Build and optimise data pipelines , databases and cloud ...

Morgan Hunt are working with a housing association in London to recruit an Azure Data Engineer on a permanent basis. The purpose of the role is to lead the implementation of data flows to connect operational systems, data for analytics … systems. You will be responsible for designing, implementing, and maintaining the organisations data infrastructure to ensure the efficient processing, storage, and retrieval of large datasets.The role requires a deep understanding of data engineering best practices, data architecture, and the ability to work with cross ...