2 of 2 Remote Data Engineer Jobs in Nottingham

Company Description Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software. We also assist millions of people … across 32 countries. Our corporate headquarters are in Dublin, Ireland. Learn more at Internal Grade E Job Description Experian's Global Security Office is looking for an Information Security Data Engineer with experience using Power Automate, SQL and PowerBI to build end-to-end automation routines as part of its Data Fabric implementation. You will also have … data analysis skills and the ability to work as part of a team. The Information Security Data Engineer will develop, improving, and maintaining executive security reporting workbooks and interactive PowerBI reporting tied to important security controls. You will design templates for PowerBI reporting, improve data feeds for improved performance and document procedures for the updating and More ❯

Join our client in embarking on an ambitious data transformation journey using Databricks, guided by best practice data governance and architectural principles. To support this, we are recruiting for talented data engineers. As a major UK energy provider, our client is committed to 100% renewable energy and sustainability, focusing on delivering exceptional customer experiences. It is initially … one day a week being based in their Nottingham office, this is negotiable. It is a full-time role, 37 hours per week. Accountabilities: * Develop and maintain scalable, efficient data pipelines within Databricks, continuously evolving them as requirements and technologies change. * Build and manage an enterprise data model within Databricks. * Integrate new data sources into the platform … using batch and streaming processes, adhering to SLAs. * Create and maintain documentation for data pipelines and associated systems, following security and monitoring protocols. * Ensure data quality and reliability processes are effective, maintaining trust in the data. * Be comfortable with taking ownership of complex data engineering projects and develop appropriate solutions in accordance with business requirements. * Able to More ❯