3 of 3 Remote/Hybrid Contract Dimensional Modelling Jobs

Data Warehouse Engineer - Outside IR35 - Hybrid

Hiring Organisation
Tenth Revolution Group
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
£400 - £450 per day
wealth management firm undergoing a major digital and data transformation . You will take ownership of the data platform architecture, ingestion pipelines, dimensional models, and API layer , delivering a scalable Bronze/Silver/Gold medallion architecture and establishing best practices for data engineering and DevOps. Must Have Azure … Database Azure Data Factory (ADF) Azure Synapse Analytics Azure Functions Data Warehouse Delivery Delivered end-to-end DWH as a lead engineer (source integration dimensional models API layer) Designed and implemented Bronze/Silver/Gold medallion architecture Made architectural decisions and produced Architecture Decision Records (ADRs) Data Engineering ...

SC Cleared Data Warehouse Engineer - Outside IR35 - Remote

Hiring Organisation
Tenth Revolution Group
Location
London, South East, England, United Kingdom
Employment Type
Contractor
Contract Rate
£400 - £500 per day
. Experience with Power BI semantic models or Azure Analysis Services/SQL Server Analysis Services (SSAS). Strong data modeling skills (star schema, dimensional modeling). Azure & Data Engineering Experience with: Azure Synapse Analytics Azure Data Factory or similar ETL tools Azure Storage/Data Lake Experience designing ...

Data Modeller

Hiring Organisation
DCV Technologies Limited
Location
Central London, London, United Kingdom
Employment Type
Contract
integration, advanced analytics, and AI driven decision making across complex digital transformation programmes. With access to modern data platforms, high quality datasets, and leading modelling frameworks, you will guide engineering, analytics, and architecture teams in building secure, scalable, and well governed data structures. This role empowers you to shape … operational needs. Translate business requirements into robust data entities, attributes, relationships, and constraints; ensure traceability from requirements to models. Establish and enforce GDM modelling standards and naming conventions (e.g., normalization, dimensional/star/snowflake patterns, data vault where appropriate). Design dimensional models (facts, dimensions, hierarchies ...