2 of 2 DemandTrendPermanent Data Modeller Jobs in Berkshire

Data Modeller 12-month contract £600 - £700 per day Outside IR35 London - 4 days a week onsite iO Associates are working with an established and rapidly growing Technology consultancy who are on the lookout for a Data Modeller to join them on a contract basis Founded over 20 years ago, the specialise in on-premises, hybrid … with clients such as BBC, O2, Tesco and Virgin Atlantic. After another year of continued success, they are hiring after winning a number of new exciting projects As a Data Modeller, you will work closely with the client and be responsible for creating, maintaining, and enhancing data models while supporting data architects with innovative solutions To … be successful, you will have: Data Modelling: Kimball, Data Vault, Canonical SQL Unity Catalog Databricks/Spark Event Hubs Python (applied to data validation/modelling) The role is operating Outside IR35 paying £600-£700 per day and requires you to be onsite in London 4 days a week Please apply using the link or get in More ❯

what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world. YOUR ROLE As a Data Modeller in the Financial Services domain, you will be responsible for designing, developing, and maintaining data models that support critical business functions such as risk management, regulatory … reporting, investment analytics, and operational efficiency. You will work closely with stakeholders across business and technology to ensure data structures are optimized for performance, compliance, and usability. YOUR PROFILE Design and develop logical and physical data models for enterprise data hubs and BI systems. Collaborate with business stakeholders to gather and understand data requirements. Translate business … needs into scalable and high-performance data models. Apply industry best practices in data modeling and metadata management. Work closely with data engineers and analysts to ensure seamless data integration. Create and maintain data dictionaries and metadata repositories . Ensure data quality , consistency, and governance across the data landscape. Optimize data models More ❯