12 of 12 Kimball Methodology Jobs in the North of England

Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role interests you and you would like to find More ❯

Ability to operate in a client-facing environment, contributing to multi-disciplinary teams and complex programmes Ideally, experience with containerisation technologies such as Docker and Kubernetes Exposure to Kimball data modeling, data architecture, and performance optimisation Experience delivering end-to-end solutions involving Azure data platform components If this role interests you and you would like to find More ❯

Azure technologies: SQL Server, ADF, Logic Apps, Data Lake, Power Query, Fabric, Function Apps, Power Automate, Spark, Databricks, SSIS. Strong understanding of data modelling techniques including Normalisation and Kimball methodologies. Proficient in SQL, and experience with programming languages such as Python or C#. Familiarity with low-code platforms (e.g., SharePoint, Power Apps, Power Automate, Nintex). Experience or More ❯

Azure technologies: SQL Server, ADF, Logic Apps, Data Lake, Power Query, Fabric, Function Apps, Power Automate, Spark, Databricks, SSIS. Strong understanding of data modelling techniques including Normalisation and Kimball methodologies. Proficient in SQL, and experience with programming languages such as Python or C#. Familiarity with low-code platforms (e.g., SharePoint, Power Apps, Power Automate, Nintex). Experience or 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 ❯

Stakeholder Engagement & Training Ideally you’ll have: Experience of building out modern data stacks, particularly based around Snowflake, Matillion and Looker. Proficiency in data modelling, including Kimball methodology and schema design. Knowledge of data warehousing design principles, particularly with Snowflake. Experience of implementing Master Data Management techniques with medallion architecture. Strong SQL skills, able to interrogate and More ❯

warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including performance optimisation and deployment strategies. Hands-on experience with Python for automation and data transformation (not More ❯

warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including performance optimisation and deployment strategies. Hands-on experience with Python for automation and data transformation (not More ❯

warehousing, and reporting. Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments. Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts. Strong proficiency with Power BI, including performance optimisation and deployment strategies. Hands-on experience with Python for automation and data transformation (not More ❯

source control setup and management Documentation and change management control PowerBI or Tableau dashboard design and management An understanding of ETL process design, delivery and management Data Warehousing (Kimball)/Master Data Management MCP in Querying SQL Server 2012 (70-461) - with a view to completion of the MCSA: SQL Server 2012/2014 programme Any experience (including More ❯

and AI-ready data across commercial, operational, and network functions. Key Responsibilities Build and maintain robust ETL/ELT pipelines across multiple data sources Design data models using Kimball/star schema Implement tooling for data quality checks, lineage, and observability (e.g., dbt tests, Great Expectations, Azure Purview) Work closely with DevOps teams to embed CI/CD More ❯

the Trusts vision of automating reporting using modern tools to enable self-service.They will maintain the Microsoft SQL Server data warehouse using ETL processes aligned to Kimball methodology, upholding data quality standards to support effective decision-making. The role includes safeguarding performance, security and integrity of data systems, using DevOps and change control practices to deliver efficient … professional development Desirable Member of a relevant professional body Fed IP, BCS knowledge Essential T-SQL Scripting, Views/Stored Procedures, Cursors and functions Kimball data warehousing methodology NHS Data Definitions, Datasets and Statistical Returns Desirable NHS Information Governance Data Protection Act 1998 and Caldicott Principles Data Accreditation/Information Quality Assurance Disclosure and Barring Service Check More ❯