4 of 4 Remote/Hybrid Kimball Methodology Jobs in London

cloud-hosted data warehouse, currently built on Snowflake with Azure infrastructure Managing data ingestion pipelines and transformation workflows applying Medallion and Kimball principles Supporting reporting and insight needs across the organisation using Power BI Managing the external data warehouse supplier, including data engineers and architects Leading data literacy ...

experience where appropriate, with a clear understanding of when SQL is the preferred solution. Experience designing robust data models using methodologies such as Kimball, Star Schema or Data Vault. Strong understanding of CI/CD, Infrastructure as Code and modern software engineering practices within data platforms. Experience building ...

transformation reporting) using Azure services Work hands-on with tools including ADF, Synapse, ADLS and Microsoft Fabric Develop and optimise dimensional data models (Kimball/star schema) for analytics and reporting Provide technical guidance and support to BI Developers during delivery (non-managerial) Contribute to Power BI/… Azure SQL Azure Data Lake (ADLS) Exposure to Microsoft Fabric (highly desirable) Strong background in data warehousing and BI environments Excellent dimensional modelling (Kimball) experience Experience working closely with BI/reporting teams (Power BI, semantic models, DAX) Confident working across end-to-end data pipelines and integration ...

Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise environments Proven hands … expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow, ADF, etc.) Data Modelling ...