4 of 4 Kimball Methodology Jobs in the South East

Senior Data Architect

Hiring Organisation
Euro Car Parks
Location
Central London, South East, United Kingdom
Employment Type
Permanent Contract, On-site
Salary
£90,000
stored procedure design at scale. · Experience with Redgate tooling (Monitor, SQL Prompt, SQL Source Control). · Hands-on data warehouse design and build — Kimball-style dimensional modelling (fact/dim schemas), incremental and full-load patterns, slowly changing dimensions, ETL/ELT framework design. · Production ETL development — SSIS ...

Azure Data Engineer

Hiring Organisation
DGH Recruitment
Location
City of London, South East, United Kingdom
Employment Type
Temporary Contract, On-site
Salary
£70,000
Teams. Skills & Experience: - Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). - Strong SQL and experience with data warehousing (Kimball methodology). - Programming skills in Python, Scala, or PySpark. - Familiarity with Power BI, SharePoint, and data integration technologies. - Understanding of DevOps, CI/CD, and cloud ...

Principal Business Intelligence Capability Lead

Location
Haywards Heath, England, United Kingdom
Databricks environment. Experience of Azure DevOps, source control and CI/CD approaches for Business Intelligence development. Strong understanding of dimensional modelling, Kimball methodologies and reporting data structures. Expert dashboard and visualisation design capabilities, with a strong focus on storytelling and user experience. Able to operate with minimal ...

BI Developer (12-18 month FTC)

Hiring Organisation
Harnham - Data & Analytics Recruitment
Location
London, South East England, United Kingdom
Employment Type
Full-Time
Salary
£50,000 - £60,000 per annum
processes and data pipelines Solid understanding of data warehousing concepts and dimensional modelling Experience working with semantic models, tabular models, star schemas, Kimball methodologies, or similar data modelling approaches Exposure to SSAS, DAX, and BI solution development Experience working across different data architectures and technology environments Strong problem ...