2 of 2 Remote Data Engineering Jobs in Nottingham

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 More ❯

Senior Databricks Data Engineer (Mid Level roles also available), £50000 - 65000 + benefits. SQL Performance Tuning, Databricks. Home Based with one day a month at the office in Nottingham. Strong commercial knowledge of Databricks is required for this role. Expanding SaaS product company are looking for a number of Data Engineer as they continue to grow. In these … hands-on roles you will be part of the team responsible for designing, creating, deploying and managing the companies data assets and you will guide and influence other members of the data engineering team with the ultimate goal of writing excellent quality, clean and high performant code. Responsibilities include - Work with the Data Architects and Data team to determine technical delivery and functionality. Design data solutions based on optimal performance, scalability and reliability. Create, optimise and maintain logical and physical data models, including data warehouses and data lakes. Design and manage the data integration process. Work with the team to improve their skills and knowledge (mentoring, training coaching, etc) Contribute More ❯