1 to 25 of 36 Kimball Methodology Jobs in the UK

Power BI for data visualisation and reporting. Hands-on experience with Azure services (Azure Data Factory, Azure SQL Server). Strong understanding of dimensional modelling (e.g., Kimball methodology). Proficiency in sourcing, manipulating, and interpreting complex datasets. Strong analytical mindset with excellent attention to detail and accuracy. Experience managing stakeholders, gathering business requirements, and delivering technical specifications. More ❯

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 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 ❯

solutions. Essential Skills: 5 years' experience in Data Engineering. Strong expertise in Databricks, Azure Data Factory, Azure SQL, and Azure Synapse/DW. Solid understanding of dimensional modelling (Kimball, Star Schema) and EDW solutions. Experience working with structured and unstructured data. Familiarity with cloud and DevOps practices - ie Azure, CI/CD pipelines, scaling, cost optimisation. Strong problem More ❯

What do I need? Experienced with data warehouse and business intelligence, including delivering low-level ETL design and physical data models. Proficient in Data Warehousing Design Methodologies (e.g., Kimball dimensional models) and Data Modelling tools (e.g., ER Studio). Strong Data Analysis skills and hands-on experience with SQL/Python for data interrogation. Working knowledge of Cloud More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms More ❯

discovery, evaluating source systems and APIs, and creating stories for implementation Collaborate with third parties to ensure interoperability and integration compatibility Champion best practices in warehousing techniques (e.g. Kimball), metadata management, and performance optimisation Support delivery through integration testing, reconciliation, and reporting visualisation (e.g. Power BI, Tableau) About You: Proven experience designing data architectures for large-scale platforms 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 ❯

management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code, monitoring, automation Finance Domain Knowledge : Experience with financial systems and reporting Data Modelling : Kimball methodology, star schemas Retail Experience : Preferred but not essential About the Team We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to More ❯

management Performance Tuning : Partitioning, caching, Spark job optimization Cloud Architecture : Infrastructure-as-code, monitoring, automation Finance Domain Knowledge : Experience with financial systems and reporting Data Modelling : Kimball methodology, star schemas Retail Experience : Preferred but not essential About the Team We're a collaborative data function made up of BI Developers and Data Engineers. We work end-to More ❯

Azure SQL is essential Proven experience with Power BI and a keen eye for effective, user-friendly data visualisation Strong background in data warehouse design (preferably Kimball methodology; fact/dimension tables) Experience working in Agile environments; exposure to DevOps is a plus Bonus: Familiarity with additional BI tools such as Tableau or Qlik Excellent attention to 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 ❯

Build and maintain key artefacts: ER models, data dictionaries, pipeline/lineage models Own architecture decisions and guide clients through change approval processes Champion governance and modelling standards (Kimball, warehousing best practices) Analyse source data, evaluate APIs, reverse-engineer data models Work closely with engineers to deliver cloud-based data solutions Visualise insights via tools like Power BI More ❯

You Experience with finance/financial systems and concepts Azure Databricks Azure Data Factory Excellent SQL skills Good Python/Spark/pyspark skills Experience of Kimball Methodology and star schemas (dimensional model). Experience of working with enterprise data warehouse solutions. Experience of working with structured and unstructured data Experience of a retail environment preferred A 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 ❯

notebooks for data processing Azure storage technologies and cost/performance characteristics Power BI, DAX, data flows Techniques and tools for sanitizing data prior to use Awareness of Kimball modelling techniques We’re also looking for people that fit how we work, which is something like; happiest working under their own direction, but fully supported when needed an More ❯

data reliability, automation, and reusability Experience Required: Strong experience with Power BI and an eye for compelling, intuitive data visualisation Solid background in data warehouse design (Kimball methodology, fact/dim tables) Proficient in the Azure stack - including ADF and Azure SQL Familiarity with Agile development; DevOps experience a bonus Bonus points for experience with Tableau, Qlik More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

For ✅ Expert-level SQL skills & strong Python for automation and tooling ✅ Hands-on experience with Cloud tech ✅ Deep understanding of analytics engineering best practices, including data modelling methodologies (Kimball, Star Schema, Inmon) ✅ An architecture mind to lead technical strategy ✅ Proactive problem solver with experience in start-ups or small data teams 📍 London Hybrid – No sponsorship available This is More ❯

the mobile/telecoms industry would be a bonus! Key outputs for the role• Design, build, and maintain scalable and trustworthy data models in dbt, making use of Kimball Dimensional and One Big Table (OBT) methodologies.• Translate business requirements from stakeholders into robust, well-documented and tested dbt models.• Develop and own workflows within Google Cloud Platform environments … Expert level proficiency in SQL.• Deep, practical experience of building and architecting data models with dbt.• A strong understanding of data warehousing concepts and data modelling techniques (eg, Kimball, Dimensional Modelling, One Big Table).• Solid, hands-on experience within the Google Cloud Platform, especially with BigQuery.• Proven experience working directly with business stakeholders to translate their needs More ❯

with the client and be responsible for creating, maintaining, and enhancing data models while supporting data architects with innovative solutions To be successful, you will have: Data Modelling: Kimball, Data Vault, Canonical SQL Unity Catalog Databricks/Spark Event Hubs Python (applied to data validation/modelling) The role is operating Outside IR35 paying £600-£700 per day More ❯