6 of 6 Inmon Methodology Jobs in the UK

Data Architecture, including at least 4 years specialising in Snowflake platform design and governance. Data Architecture Expertise: Deep knowledge of data warehouse design methodologies (Inmon, Kimball, Data Vault 2.0), with the ability to apply the most appropriate approach for each use case. Technical Skills: Advanced SQL and Python skills ...

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 ...

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 ...

senior stakeholder s.Excellent communication and stakeholder management skills across technical and business audience s. Desirable Ski llsFamiliarity with data warehousing methodologies and patterns (Kimball, Inmon, Data Vaul t).Exposure to data catalogue or metadata management tooling (e.g., Collibra, Informatica, or simila r).Knowledge of cloud data platforms and hybrid ...

used in data engineering, preferably Python. Scala or Java is a plu s.Solid understanding of data warehousing concepts, data modeling techniques (dimensional modeling, Kimball, Inmon), and ETL/ELT processe s.Experience with version control systems (e.g., Git ).Strong analytical, problem-solving, and debugging skill s.Excellent communication and collaboration skills ...

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 ...