19 of 19 Permanent Kimball Methodology Jobs in the UK excluding London

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 ❯

downstream consumption. Key outputs for the role • Develop and maintain data pipelines using Azure Data Factory (ADF), ensuring efficient and reliable data movement and transformation. • Data Modelling using Kimball, 3NF or Dimensional methodologies • Utilize SQL and Python languages to extract, transform, and load data from various sources into Azure Databricks and Azure SQL/SQL Server. • Design and 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 ❯

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 ❯

/ELT tools (Matillion preferred) Proficiency with SQL Server and Snowflake or similar cloud data warehousing solutions (Azure, AWS, etc.) Experience supporting analytics and reporting using Kimball methodology Experience with data migration and business logic mapping Proven ability to convert business requirements into solutions Experience with Power BI Desirable: Experience with Business Systems reporting, including ERP Knowledge 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 ❯

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 ❯

Product Owners, Test Analysts, and BI Teams. Skills & Experience: * Proficiency in Azure tools (Data Factory, Databricks, Synapse, etc.). * Strong SQL and experience with data warehousing (Kimball methodology). * Programming skills in Python, Scala, or PySpark. * Familiarity with Power BI, SharePoint, and data integration technologies. * Understanding of DevOps, CI/CD, and cloud concepts (IaaS, PaaS, SaaS More ❯

pipelines handling diverse data sources. You'll work closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using tools like Matillion, Informatica 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 ❯

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 ❯

We need a few basics from you: Data pipeline creation Strong ETL development experience with Azure Data Factory Datawarehouse and data storage concepts - star schema/snowflake/Kimball Azure Databricks and AI Power BI reporting skills would be advantageous Strong stakeholder management experience After a few weeks of induction and meeting the business you'll visit the More ❯

and evolve enterprise-wide data models across key domains like Product, Customer, Supply, Finance, and Location Apply Kimball dimensional modelling for consumption layer design and Data Vault methodology for raw and business layer integration Define and maintain data architecture principles, patterns, and standards Collaborate with data platform teams on governance, quality, lineage, and optimisation Consult with squads … Support our shift to a Data Product Ownership model, enabling domain-aligned teams Core Skills & Experience Proven experience in enterprise data architecture in a complex organisation Expertise in Kimball and Data Vault 2.0 methodologies Strong grasp of data modelling, metadata, and governance knowledge Hands-on experience with modern data platforms (Databricks, Delta Lake, Unity Catalog, Azure) Ability to More ❯

and evolve enterprise-wide data models across key domains like Product, Customer, Supply, Finance, and Location Apply Kimball dimensional modelling for consumption layer design and Data Vault methodology for raw and business layer integration Define and maintain data architecture principles, patterns, and standards Collaborate with data platform teams on governance, quality, lineage, and optimisation Consult with squads … to a Data Product Ownership model, enabling domain-aligned teams What youll bring to this role Proven experience in enterprise data architecture in a complex organisation Expertise in Kimball and Data Vault 2.0 methodologies Strong grasp of data modelling, metadata, and governance knowledge Hands-on experience with modern data platforms (Databricks, Delta Lake, Unity Catalog, Azure) Ability to More ❯

multiple business domains. The Data Architect will be responsible for designing and evolving data models across raw, business and consumption layers, applying best-in-class methodologies such as Kimball and Data Vault 2.0. You'll help define and drive architecture principles, ensure alignment across squads, and collaborate closely with data platform teams to improve data governance, quality, lineage … the chance to influence strategy and shape long-term data capabilities. Data Architect - Key Requirements: Strong background in enterprise data architecture within complex environments Hands-on expertise with Kimball and Data Vault 2.0 methodologies Experience designing models across raw, business, and consumption layers Solid understanding of metadata, cataloguing, and data governance practices Working knowledge of modern data platforms More ❯