3 of 3 Permanent Analytical Modelling Jobs in West Yorkshire

Data Engineer

Location
Leeds, England, United Kingdom
patterns to reduce duplication and operational load Mentoring mindset: - Guide junior engineers - Improve team quality through reviews, standards, and shared practices Technical Skills Data Modelling: Designs analytical data models for multiple consumers, understands schemas, keys, and data grain, and balances normalisation versus performance using established and reusable modelling ...

Data Specialist - Data Analytics Engineer

Location
Bradford, England, United Kingdom
relationships with data consumers and business analysts across internal functions. Translate business processes, operational requirements, and user feedback into robust data architecture and optimised analytical datasets. Own data model delivery for the domain area, ensuring documentation and data definitions are accurate and accessible. Colleague Champion data literacy, modelling … reusable conformed data layers that minimise processing waste and lower GCP cloud compute costs. Reduce duplicate engineering efforts by consolidating redundant metrics into centralised analytical data models. Operational Design, code, test, and deploy secure, maintainable data models and transformations using modern data tools (e.g., SQL, Dataform) in Google Cloud ...

Senior Data Architect

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
Leeds, West Yorkshire, United Kingdom
Employment Type
Full-Time
Salary
£80,000 - £90,000 per annum
fantastic opportunity to join a major organisation undergoing a significant Azure Data Lakehouse transformation. You'll take ownership of enterprise-wide data modelling and architecture, helping the business evolve from traditional reporting towards advanced analytics and data-driven decision making. THE COMPANY: This well-established UK professional services organisation … Designing and governing enterprise-wide data models across Bronze, Silver and Gold layers within a Medallion Architecture. Creating scalable curated data models using dimensional modelling and Kimball methodologies. Defining semantic data layers, standards and governance practices that ensure consistency, quality and efficiency across the data platform. Managing logical ...