8 of 8 Inmon Methodology Jobs in the UK

Data Architecture, with a minimum of 4 years specialising in Snowflake platform design and governance. Data Architecture: Mastery of Data Warehouse design methodologies - Inmon, Kimball, and Data Vault 2.0 - with the judgement to apply the right pattern for the right use case. Technical Skills: Expert SQL and Python; hands ...

Snowflake. Demonstrated success delivering enterprise-scale data transformation programmes and modernising legacy data environments. Deep expertise in Data Vault 2.0, Kimball dimensional modelling, and Inmon methodologies, with the ability to select the right approach for varying business requirements. Advanced knowledge of dbt and Git-based development practices. Strong experience ...

complex near real-time and/or batch data integration solutions. Familiarity with both traditional and non-traditional analytical data design methodologies (e.g., Kimball, Inmon). Strong SQL programming skills and a solid understanding of relational database concepts. Experience in loading and maintaining enterprise data warehouse environments. Nice ...

expertise across Azure Data Factory, Synapse Analytics, ADLS and Databricks Strong understanding of Data Warehousing, Lakehouse architecture and modern data platforms Experience with Kimball, Inmon or Data Vault modelling approaches Knowledge of data governance, security and regulatory requirements including GDPR, IFRS 17 or Solvency II Strong stakeholder management Experience ...

optimisation Experience with Azure Data Factory, ADLS Gen2, Synapse Analytics, and/or Microsoft Fabric Excellent understanding of modern data modelling approaches including Kimball, Inmon, and Data Vault Strong SQL, Python, Spark, and Snowflake SQL skills Experience with CI/CD and Infrastructure as Code tools such as Terraform ...

similar ETL or ELT (extract, transform, load) platforms for data integration, quality and governance Practical experience applying data modelling methodologies including 3NF, Kimball, Inmon, Hybrid or Big Data Experience using multiple data integration approaches such as ETL, ELT and virtualisation Strong working knowledge of master data management principles, practices ...

NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault). Hands‐on experience with cloud data platforms and services (AWS, Azure, GCP). Familiarity with cloud‐native data architectures and technologies. ...

NoSQL databases, graph databases, vector stores, and data warehouses, particularly in cloud environments. Experience with data modelling techniques and data warehousing methodologies (e.g., Kimball, Inmon, Data Vault).* Hands-on experience with cloud data platforms and services (e.g., AWS, Azure, GCP). Familiarity with cloud-native data architectures ...