26 to 31 of 31 Dimensional Modelling Jobs in the UK excluding London

on driving warehouse efficiencies and optimisation to reduce complexity and cost Requirements Strong experience with SQL Strong understanding and experience of DBT and applying data architecture principles such as dimensional modelling, to translate raw data into a structured format Strong experience with Looker or a Similar Business Intelligence (BI) Tool Self-starter with the ability to think outside More ❯

analytics and data warehousing solutions. Expertise in cloud data platforms such as Azure , AWS , or GCP . Strong hands-on experience with Snowflake and Matillion . Deep understanding of dimensional modelling and data vault architecture . Exceptional collaboration skills with the ability to influence and guide stakeholders. A proactive mindset with a passion for continuous improvement and innovation. More ❯

phased implementation roadmaps Significant experience (and ideally certified) in Snowflake and acted as lead data architect on at least two Snowflake implementations. Expertise in data architecture concepts such as dimensional modelling, data vault, data mesh. Understanding data management and governance concepts such as data quality, metadata management, etc. Experience in designing data engineering solutions using open source and More ❯

aligned with their strategic goals. How youll spend your day Architect and evolve enterprise-wide data models across key domains like Product, Customer, Supply, Finance, and Location Apply Kimball dimensional modelling for consumption layer design and Data Vault methodology for raw and business layer integration Define and maintain data architecture principles, patterns, and standards Collaborate with data platform … teams on governance, quality, lineage, and optimisation Consult with squads on physical data modelling Contribute to metadata and data catalog initiatives to improve discoverability and reuse Support our shift to a Data Product Ownership model, enabling domain-aligned teams What youll bring to this role Proven experience in enterprise data architecture in a complex organisation Expertise in Kimball and … Data Vault 2.0 methodologies Strong grasp of data modelling, metadata, and governance knowledge Hands-on experience with modern data platforms (Databricks, Delta Lake, Unity Catalog, Azure) Ability to define and drive architecture principles, patterns, and best practices Excellent communication and stakeholder management skills Retail industry experience is a bonus but not a deal breaker Perks & Benefits: Discretionary company bonus More ❯

while evolving our data engineering tools, processes, and standards. Working with both structured and unstructured data to meet diverse business needs. Implementing Kimball methodology and Star Schema design for dimensional modelling. Supporting and enhancing Enterprise Data Warehouse solutions . Leveraging knowledge of emerging technologies to solve modern business challenges. Championing cloud technology best practices including CI/CD, cost … Need 5+ years' experience in a Data Engineering function. Strong background with Databricks, Data Factory, Azure SQL, Azure SQL DW . Hands-on experience with Enterprise Data Warehouses and dimensional modelling. Familiarity with structured and unstructured data handling. Google Analytics data experience (preferred). Experience in a retail environment (preferred). Deep understanding of cloud technologies and DevOps practices. More ❯

The position requires at least 2 years of experience using QlikView version 11 or higher, with proven expertise in the following areas: Good knowledge of SQL, relational databases, and Dimensional Modeling Experience working with large data sets and complex data models involving more than 10 tables Integrating data from multiple sources into QlikView Data Models, including social media content … and API extensions Use of complex QlikView functions and developing optimal scripts for solutions Optimizing Dimensional data models for performance Primary Responsibilities: Creating and providing reporting and dashboard applications using QlikView and NPrinting to facilitate better decision-making Collaborating with stakeholders to gather requirements, and translating these into system and functional specifications Creating prototypes and conducting proof of concepts More ❯