24 of 24 Kimball Methodology Jobs in the South East

attending workshops, possibly across differ locations if needed) Nice to have: Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Insurance industry experience, with good understanding of what a claim is, claims process(es) etc Previous work on Data strategies Exposure to collaborative modelling tools such as Ellie.ai Immediate More ❯

attending workshops, possibly across differ locations if needed) Nice to have: Demonstrable background in Data Engineering Design processes (ETL, ELT), with good knowledge of Data Vault, Inmon and Kimball Insurance industry experience, with good understanding of what a claim is, claims process(es) etc Previous work on Data strategies Exposure to collaborative modelling tools such as Ellie.ai Immediate More ❯

management position. Financial services experience is essential , ideally covering lending, servicing, or securitisation data. Deep technical expertise in Microsoft and Azure data technologies. Strong knowledge of data modelling (Kimball) , ETL/ELT , and hybrid cloud architectures . Proven ability to drive quality, governance, and best practices within engineering teams. Excellent communication, stakeholder management, and leadership skills. If you More ❯

ability to explain architectural approaches to technical and non-technical stakeholders. Expertise in data modelling to at least 3NF, database structures, and data mining. Proficiency in Kimball methodology and Data Vaults . Strong understanding of database fundamentals, metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with More ❯

ability to explain architectural approaches to technical and non-technical stakeholders. Expertise in data modelling to at least 3NF, database structures, and data mining. Proficiency in Kimball methodology and Data Vaults . Strong understanding of database fundamentals, metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with More ❯

ability to explain architectural approaches to technical and non-technical stakeholders. Expertise in data modelling to at least 3NF, database structures, and data mining. Proficiency in Kimball methodology and Data Vaults . Strong understanding of database fundamentals, metadata-driven ingestion, and transformation pipelines. Experience with Master Data Management (MDM) , data cataloguing, and managing data lineage. Familiarity with More ❯

Deep experience with Microsoft Data Platform technologies (SQL Server, SSIS, SSAS, SSRS, Power BI, Azure Data Factory, Azure Data Lake, Databricks). Knowledge of dimensional modelling (Kimball methodology) and delivering hybrid cloud/on-premise solutions. Strong understanding of data governance, compliance, and data quality practices. Hands-on experience with CI/CD pipelines, DevOps/DataOps More ❯

warehousing concepts and best practices. Experience of, and ability to, transform raw transactional data into well-structured analytics-ready datasets using schemas like the star schema (Kimball methodology) Data Quality & Governance : build trust in data by implementing data validation checks, testing frameworks, and clear documentation within your pipelines Experience in the following areas is not essential but More ❯

initiatives, influencing best practice and architectural standards. Safeguard the integrity, availability, and security of company data. What You'll Bring Extensive experience in data architecture and modelling (3NF, Kimball, Data Vault). Deep understanding of database design, metadata-driven pipelines, and data integration. Proven experience with Azure Data Services-including Databricks, Data Factory, Azure SQL, and CosmosDB. Expertise More ❯

technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation techniques This is a great More ❯

transactional data and analytic data sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a More ❯

transactional data and analytic data sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a More ❯

transactional data and analytic data sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a More ❯

transactional data and analytic data sources. Analysis of semi-structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball-style multi-dimensional models. 💡Strong SQL, Sigma, PowerBI, Matilion, DBT, Python Essential Skills for the Lead Data Analyst: Proven Data Analyst experience of at least 5 years, within a More ❯

What We're Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2 More ❯

What We're Looking For Extensive experience in data architecture and modelling. Strong knowledge of Azure Cloud Services (DataBricks, ADF, Azure SQL, CosmosDB). Proficiency in Kimball methodology and Data Vaults. Experience with MDM, data cataloguing, and lineage management. Skilled in designing metadata-driven ingestion and transformation pipelines. Proven track record in agile delivery environments (SCRUM, PRINCE2 More ❯

data quality and governance principles . Desirable (or trainable) Experience: Tools such as Power BI , Alteryx , Azure Synapse , or Azure Fabric . Data modelling methodologies such as 3NF , Kimball , or Data Vault . If this sounds like an interesting position to you, please apply with an up-to-date CV for immediate consideration. More ❯

and compression approaches for complex data structure storage and retrieval. Data Strategy: Production experience delivering aligned data models that enable resource isolation and data integration, with experience of Kimball/Inmon modelling and ability to deliver in data mesh architectures across multiple functional domains Data Storage Solutions: Familiarity with data storage with an understanding of on-premises, cloud More ❯

and compression approaches for complex data structure storage and retrieval. Data Strategy: Production experience delivering aligned data models that enable resource isolation and data integration, with experience of Kimball/Inmon modelling and ability to deliver in data mesh architectures across multiple functional domains Data Storage Solutions: Familiarity with data storage with an understanding of on-premises, cloud More ❯

transactional data and analytic data sources. Analysis of semi structured and file-based data extracts. Data modelling to transform operational data into analytic/reporting structures such as Kimball style multi-dimensional models. Essential Skills for the Data Analyst: Proven Data Analyst experience of at least 5 years, within a Financial Services environment, with particular emphasis on Risk More ❯

CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse/lakehouse design (preferably Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments More ❯

CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse/lakehouse design (preferably Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments More ❯

CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse/lakehouse design (preferably Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments More ❯

CosmosDB, Azure SQL Strong usage of SQL Server and modern data warehouse/lakehouse design (preferably Databricks-based) Data modelling using Kimball and/or Data Vault methodology Experienced with both structured and unstructured data environments Experience with MDM, data lineage, data cataloguing, and enterprise metadata management Familiar with Agile, SCRUM, and project frameworks like PRINCE2 Requirments More ❯