1 to 25 of 30 Permanent Kimball Methodology Jobs in England

Build, CI/CD, GitHub, IAM, SQS, SNS, Aurora DB - Good experience with DBT, Apache Iceberg, Docker, Microsoft BI stack (nice to have) - Experience in data warehouse design (Kimball and lake house, medallion and data vault) is a definite preference as is knowledge of other data tools and programming languages such as Python & Spark and Strong SQL experience. More ❯

impact analytical products. Design, build, and maintain Power BI dashboards that inform strategic business decisions. Use PySpark , Databricks or Microsoft Fabric , and relational/dimensional modelling (Kimball methodology) to structure and transform data. Promote best practices in Git , CI/CD pipelines (Azure DevOps), and data governance. Lead the rollout, adoption, and training of dashboards and data … operations teams. What We're Looking For 3 to 5 years of experience in data analysis, BI development, or data engineering. Strong knowledge of relational and dimensional modelling (Kimball or similar). Proven experience with: Power BI (advanced DAX, data modelling, RLS, deployment pipelines) PySpark and Databricks or Microsoft Fabric Git and CI/CD pipelines (Azure DevOps More ❯

Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building societies in the UK More ❯

Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building societies in the UK More ❯

Experience of working in an Agile Team; preferably Safe. Experience in specific tooling Qlik Replicate/Qlik Compose/DataBricks/Informatica/SAS An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse) Understanding of Data Science, AI and Machine Learning ways of working About us Were one of the largest building societies in the UK 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 ❯

level or in large-scale delivery.Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologiesAnalytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT experience More ❯

Data Engineers on various projects Proven experience in data engineering and architecture, with a focus on developing scalable cloud solutions in Azure, GCP or AWS. Data Modelling using Kimball, 3NF or Dimensional methodologies Analytics Engineering lean, with experience within BigQuery (GCP) with data modelling in DBT and mobile/telecoms industry experience would be beneficial, with deep DBT More ❯

both technical and non-technical stakeholders. Extensive experience of data modelling to at least 3NF Strong knowledge of database structure systems and data mining Proficient in Kimball methodology and Data Vaults Deep understanding of database fundamentals and experience in designing metadata-driven ingestion and transformation pipelines. Experienced in Master Data Management (MDM), data cataloguing, and managing data More ❯

and Azure-based architecture , with a strong ability to translate complex requirements into robust technical solutions. Key Responsibilities Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault) Architect and optimise data platforms including data lakes , lakehouses , and data warehouses Lead the development of metadata-driven ingestion and transformation pipelines Ensure compliance with GDPR and More ❯

and Azure-based architecture , with a strong ability to translate complex requirements into robust technical solutions. Key Responsibilities Design and implement conceptual, logical, and physical data models (3NF, Kimball, Data Vault) Architect and optimise data platforms including data lakes , lakehouses , and data warehouses Lead the development of metadata-driven ingestion and transformation pipelines Ensure compliance with GDPR and 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 ❯

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 ❯

Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/1292110. More ❯

Electric Car Salary Sacrifice Scheme. Keywords: Data Engineer, Azure Data Factory, AWS, AWS Data Services, Redshift, S3, Lambda, Azure BI Technologies, ETL, Data Warehousing, Data Modelling & Kimball Methodology, Data Engineer, Power BI, SQL, ETL, SSRS, Data Engineer. Cambridge, Permanent, T6/MN/(phone number removed). 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 ❯

context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯

context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯

context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯

context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions More ❯

context and operational needs. Qualifications & Skills Technical Expertise Proven hands-on experience with data platforms such as Azure, AWS, and Informatica. Strong knowledge of data modelling techniques (e.g., Kimball, Star Schema, Data Vault). Proficiency with cloud-native and DataOps solutions (Azure/AWS stack, event streaming with Azure Event Hubs, Kafka). Experience in Big Data solutions 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 ❯

solutions are context-aware and business-aligned. Qualifications & Experience Technical: Proven hands-on experience with data platforms (Azure, AWS, Informatica). Strong understanding of data modelling approaches (e.g., Kimball, Star Schema, Data Vault). Proficiency in cloud and DataOps solutions, particularly within Azure or AWS ecosystems, including event streaming (Azure Event Hubs, Kafka). Experience with Big Data More ❯