2 of 2 Contract Data Migration Jobs in the East Midlands

We're undertaking a fast paced data transformation into Databricks at E.ON Next using best practice data governance and architectural principles, and we are growing our data engineering capability within the Data Team. As part of our journey we're looking for a data architect to help bring our vision to life to design and … review data models, iterate on data architecture, and ensure data is efficiently stored and managed within our enterprise data lakehouse. Here's a taste of what you'll be doing You will work with the various data team families in designing, reviewing, and approving or refining data models. You will be involved with data modelling including conceptual, logical, and physical modelling where appropriate. You will ensure data is efficiently managed, stored, and accessed in ways that support business requirements. You'll need to look at the bigger picture through enterprise data modelling, planning ahead for the impact of data changes over time. Design technical architecture solutions for machine learning 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 ❯