22 of 22 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 ❯

Azure Data Factory (ADF), and you know how to turn complex data challenges into streamlined, reliable systems. You will excel in data warehouse modelling, especially with Kimball methodology and Medalion architecture approaches. With your sharp analytical skills and a passion for problem-solving, you're not just about the numbers - you love coaching and helping others grow 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 ❯

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 ❯

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 ❯

Cassandra). Advanced SQL skills (DDL, DML, performance tuning) and scripting experience (PL/SQL, T-SQL, Python or Shell). Knowledge of data warehousing concepts (Inmon/Kimball) and ETL tools (e.g., Informatica). Cloud platform experience, ideally AWS (S3, Redshift, Glue) and Data Lake implementation. You may be assessed on the key critical skills relevant for 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 ❯

and NoSQL databases. Familiarity with big datatechnologies and ecosystems suchas MicrosoftSynapse/Fabric,Hadoop, Spark, Kafka, and others. Skills in data modelling and datawarehousing solutions. Experienceof dimensional modelling (Kimball). Proven Experience in designing and developing ETL/ELT processes. Knowledge of data pipeline toolssuch as Data Factory, Airflow, andNiFi. Knowledge of version controlsystems such as Git. Ability 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 ❯

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 ❯

Power BI reports, dashboards and datasets that drive actionable insights using DAX and SQL to support analytical needs. Transform business requirements into technical specifications, applying STAR schema and Kimball dimensional modelling to optimise data structures for performance and usability. Collaborate with stakeholders to decentralise data access and empower decision-makers. Optimise performance of data models and reports through 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 (e.g., 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 ❯

Familiarity with tools such as Tabular Editor, Dax Studio SQL - ability to effectively query SQL databases Any exposure to Databricks would be beneficial Understanding of relational databases and Kimball approach to data warehousing Experience of designing, building and maintaining best practise semantic models Microsoft Certification such as PL-300 and DP-600 beneficial but not essential Familiarity with 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 ❯