2 of 2 Azure Data Engineer Jobs in the South East

Lead Azure Data Engineer The Lead Azure Data Engineer will play a pivotal role in managing and optimising data solutions within the financial services sector. This position focuses on leveraging Azure-based technologies to support the analytics department in delivering high-performing data solutions. Client Details Lead Azure Data Engineer The organisation is a medium-sized organisation within the financial services industry, known for its focus on innovation and technology-driven solutions. It offers a collaborative environment, fostering growth within the analytics field. Description Lead Azure Data Engineer Design … and implement scalable data solutions using Azure technologies. Collaborate with the analytics team to align data architecture with business objectives. Develop and maintain robust ETL pipelines for data processing and integration. Ensure data security and compliance with industry standards and regulations. Monitor and optimise data storage and processing 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 ❯