7 of 7 Star Schema Jobs in the North of England

the wider data culture. Key Responsibilities: Design and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL. Build and enhance enterprise data warehouse models (facts, dimensions, star schemas). Collaborate with BI and Analytics teams to translate requirements into engineering solutions. Drive adoption of modern DevOps practices (CI/CD, cost optimisation, automation). Advocate for … 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 ❯

the wider data culture. Key Responsibilities: Design and deliver robust data pipelines using Databricks, Azure Data Factory, and Azure SQL. Build and enhance enterprise data warehouse models (facts, dimensions, star schemas). Collaborate with BI and Analytics teams to translate requirements into engineering solutions. Drive adoption of modern DevOps practices (CI/CD, cost optimisation, automation). Advocate for … 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 ❯

implementing enterprise-scale data architecture in complex environments Deep understanding of data modelling techniques-including conceptual, logical, and physical modelling Strong expertise in Kimball methodology and dimensional modelling (e.g. star schema design) Experience with modern cloud data platforms, ideally including Microsoft Azure, Databricks, and associated tools (e.g., Azure Data Factory, Azure SQL, Synapse) Familiarity with modern data engineering 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 good understanding 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 practices More ❯

reports Translate performance and reporting needs into clear technical solutions Connect and integrate data from multiple sources (Capita, SQL Server, Excel, SharePoint, APIs) Build efficient, scalable data models (e.g. star schema) Define and embed KPIs in collaboration with the Data Group, SEND Business Analyst, and Head of Service Schedule data refreshes and manage gateway configurations Ensure consistency, accuracy More ❯

following - Power BI dashboard and report development Translating business requirements into technical reporting solutions Working with data sources including SQL Server, Excel, SharePoint, APIs, and Capita Data modelling using star schema and other best practices KPI and metric definition with business stakeholders Scheduling data refreshes and managing gateway connections Supporting users with training, troubleshooting and documentation Collaborating across More ❯