2 of 2 Data Engineering Jobs in Rugby

over 1 billion players already reached, your work will contribute to our shared mission of making the most fun games for the world's players. Join the team! Our Data Engineering team are seeking a talented and experienced Data Engineer to join the team based in Leamington Spa, working on-site 5 days a week. With high … volume and a variety of data within our organisation we require an advanced expertise to ensure scalability, reliability and efficiency in our data ecosystem. We require a person who has designed, created, & maintained data pipelines at large scale in a given tech stack, and also understands best practices and standards and is able to review if they … are being followed at team level. Role Overview Design, develop, test, and maintain Kwalee’s core data systems, including data pipelines, data warehouses and data lakes. Maximise the accessibility and reliability of data for developers and users of data at Kwalee, while ensuring reasonable cost effectiveness is achieved. Benefits Private Medical Insurance Dental Insurance More ❯

Data Engineer - SQL Developer Mostly Remote role - Must be able to travel to rugby office 1-2 times per month An established organisation is seeking a talented SQL Data Engineer to join a collaborative and forward-thinking data team. This role is ideal for someone who thrives on solving complex data challenges, enjoys working with diverse … data sources, and takes pride in building scalable, secure and high-performing data solutions. Key Responsibilities Design, develop and maintain SQL databases and data pipelines, ensuring reliability, integrity and optimisation. Create and enhance complex T-SQL queries to support reporting, analytics and system integrations. Develop and maintain data models, mapping processes and documentation to support enterprise … data architecture. Collaborate with analysts, data architects and technical teams to understand business requirements and deliver fit-for-purpose data solutions. Support the evaluation, design and implementation of data platforms and tools. Structure and prepare data for analytics, data mining, machine learning and application use. Manage and monitor ETL processes, data migrations and More ❯