3 of 3 Remote ETL Development Jobs in the South East

This role is key to maintaining and evolving our data platform, supporting both ongoing enhancements and greenfield development. You will work on data integration, ETL pipelines, analytics, and AI-driven insights, ensuring robust data solutions that support business growth. You will be responsible for designing, building, and optimising Azure … opportunity to make a real impact in a small, skilled team, helping shape the firm’s data strategy and capabilities. Technical Skills Data Integration & ETL Azure Data Factory (ADF): Expert in setting up, configuring, and maintaining Azure Data Factory pipelines for efficient ETL processes, with a strong focus … Service (DIS) –4 x salary (to age 70) Critical Illness Cover (CIC) -£10k cover (to age 70) Bonus scheme Professional qualifications, study, training and development And many more….. Get in touch to find out more about the benefit package, the organisation, and this career opportunity. Apply below And More ❯

Medical Sector Hybrid/Remote Options - Flexible Up to £60,000 My client is seeking a Senior Data Engineer to develop and maintain scalable ETL/ELT processes and manage a growing data platform. Working closely with stakeholders and technical teams, you'll help transform raw data into actionable … and modelling * Proficiency in Microsoft Azure data tools, especially Microsoft Fabric, OneLake, and Data Factory * Expertise in SQL Server and T-SQL * ELT/ETL development experience * Stakeholder engagement and cross-team collaboration skills Desirable: * Power BI, Tableau, SSIS, SSAS, or other Azure ETL tools This is More ❯

strong understanding of the insurance industry, along with hands-on experience in delivering end-to-end data solutions—such as building data lakes, developing ETL processes, and deploying data visualization tools. Working closely with global teams and reporting to the Group Data Lead , the Senior Data Analyst will play … multiple sources Communicate insights to both technical and non-technical audiences Ensure data quality through governance and regular checks Design and implement data pipelines, ETL processes, and dashboards Apply knowledge of analytics, AI, and cloud technologies Work with varied data products and data lake architectures Coordinate projects with internal More ❯