7 of 7 DemandTrendPermanent Kimball Methodology Jobs in Manchester

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 ❯

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 ❯

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 ❯

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 ❯

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 ❯

in a dynamic environment while evolving our data engineering tools, processes, and standards. Working with both structured and unstructured data to meet diverse business needs. Implementing Kimball methodology and Star Schema design for dimensional modelling. Supporting and enhancing Enterprise Data Warehouse solutions . Leveraging knowledge of emerging technologies to solve modern business challenges. Championing cloud technology best More ❯

implemented technology stack and clear direction of travel, so your initial objectives will be to understand our business data and team capabilities to then expand and improve our Kimball-model data warehouse in Azure, focusing on new datasets, pipeline resilience, performance and security. You will lead and coach the team in deploying tools and processes to ensure good … including use of source control, unit testing, CICD, IaC - Deliver an enterprise data model considering all our current and likely future data sources - Manage the improvement of our Kimball-style data warehouse in Azure - Lead and coach a team of engineers to build and maintain the platform - Partner with our delivery lead to manage the strategic roadmap and More ❯