4 of 4 Inmon Methodology Jobs in the UK

Data Architect / Lead Data Engineer

Hiring Organisation
Arc IT Recruitment
Location
London, South East England, United Kingdom
Employment Type
Full-Time
Salary
£100,000 - £110,000 per annum
architecture and optimisation experience Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics and/or Microsoft Fabric Solid data modelling knowledge across Kimball, Inmon and Data Vault Strong SQL, Python, Spark and Snowflake SQL skills Experience with CI/CD and IaC tools such as Terraform ...

Senior Database Developer

Hiring Organisation
Credit Benchmark
Location
London, UK
Employment Type
Full-time
testable pipelinesExperience with Power BI, including paginated/report-server style reporting, for both interactive and operational reporting needsStrong understanding of data warehousing models (Inmon and Kimball), with previous exposure to BI solutions. A full understanding of the database development lifecycle — design, implementation, and release process. Experience working with ...

Senior Data Engineer - Dudley

Hiring Organisation
Circle Group
Location
Dudley, West Midlands, United Kingdom
Employment Type
Permanent
Salary
£85,000
knowledge is brought in house. * Azure Data Platform technologies, Azure Data Lake, Azure Analysis Services. Desirable Skills: * Snowflake, ThoughtSpot. * Knowledge of Kimball and Inmon data warehousing methodologies. * Exposure to AI-assisted development tools and modern AI technologies. The Role: This is a highly technical Senior Data Engineer position focused ...

Data Warehouse Modeler/Engineer

Hiring Organisation
Randstad Technologies Recruitment
Location
Basildon, Essex, United Kingdom
Employment Type
Permanent
Salary
£75000 - £80000/annum
tools (Informatica, Talend, ODI, SSIS, etc.). Hands-on expertise in Snowflake data engineering. Solid background in SQL-based data modeling methodologies (Kimball, Inmon, Data Vault) and full ETL/ELT pipeline design. Deep comprehension of modern end-to-end data ingestion and transformation patterns. Proficiency in data quality ...