4 of 4 Dimensional Modelling Jobs in Central London

Engineer, you will be responsible for transforming raw data into well modelled, business ready data marts and semantic layers. You will take ownership of dimensional modelling, dbt transformations, and core metrics that power BI tools used across the business. This role blends hands on technical delivery with technical … managing 2 to 3 Analytics Engineers while working closely with senior data leaders and stakeholders on multi market initiatives. Key Responsibilities • Design and own dimensional data models using Kimball methodology • Build and maintain dbt pipelines from raw to gold layer marts • Define and enforce modelling, testing, and documentation ...

Role – Data Modelling Lead Technology – Snowflake, SQL Server, PostgreSQL, Data Warehousing, Data Lake, Medallion, Data Vault, Data Fabric, Semantic modelling Location – London, UK Job Description We are seeking an experienced Data Modeler who can analyze and understand the existing customer data and analytics models on SQL Server … concepts—including Specialized Insurance, London Market, and Regulatory Data—is essential for success in this role. Your role In the role of a Data Modelling Lead, you will be responsible for leading the design and transformation of enterprise data models to support scalable, high-performance analytics and reporting solutions. ...

growing and increasingly sophisticated data function is looking for a Senior Analytics Engineer to take ownership of its analytics modelling layer and help lead the evolution of trusted, business-ready data. This role sits at the heart of reporting and decision-making, combining hands-on technical delivery with mentorship … performing analytics engineering capability. Responsibilities: You will: Own and develop dbt models across bronze, silver, and gold layers Design and maintain robust, well-optimised dimensional models using Kimball-style principles Lead the development of aggregation and transformation logic for complex analytics use cases Act as a technical point ...

Strong SQL skills and experience working with cloud data warehouses (BigQuery, Redshift, Snowflake, etc.) Solid experience building models and transformations using dbt Understanding of dimensional modelling and data transformation principles Exposure to BI tools (Looker, Power BI, or similar) and how they consume data Experience working with cloud ...