19 of 19 Remote/Hybrid Dimensional Modelling Jobs in the UK excluding London

Data & Analytics Lead, who will set priorities, provide technical direction and coordinate Data Engineering and Power BI delivery. Together, you will build reliable pipelines, dimensional models and transformations that make trusted data available across the business. Key Responsibilities Lead and develop the data team, including Data Engineering, with clear … priorities and responsibilities Guide technical work across reporting, data modelling, integration and engineering Design and maintain Power BI reports, dashboards, semantic models and supporting data models Set Power BI standards for architecture, development, governance, deployment and reuse Work with stakeholders to understand requirements, agree priorities and manage delivery Work ...

data platforms. This role requires strong technical business analysis expertise across enterprise reporting, business intelligence, data warehousing, and analytics. Experience working with Kimball-style dimensional modelling methodologies and semantic models will be highly valued, helping to ensure reporting solutions are scalable, governed, and capable of delivering consistent business … reporting, analytics, business intelligence, or data warehouse projects Experience working with Power BI, Tableau, Qlik, Cognos, or similar BI platforms Strong understanding of data modelling concepts , including facts, dimensions, star schemas, semantic models, and reporting architectures Experience working with Kimball-style dimensional modelling methodologies Experience designing, supporting ...

troubleshooting complex T-SQL queries and stored procedures Building and enhancing semantic and tabular data models Supporting SSAS cube development and DAX calculations Applying dimensional modelling and data warehousing best practices Collaborating with business and data analysts to translate requirements into technical solutions Investigating data issues and supporting … experience with SQL Server and T-SQL development Experience building and maintaining ETL processes and data pipelines Solid understanding of data warehousing concepts and dimensional modelling Experience working with semantic models, tabular models, star schemas, Kimball methodologies, or similar data modelling approaches Exposure to SSAS ...

following areas is important: Microsoft Fabric and Azure data services, includinglakehouse, warehouse,notebooksand pipeline capabilities. Building enterprise-scale data platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation ...

Working closely with the Business Intelligence Manager, you'll play a key role in delivering end-to-end BI solutions, covering data ingestion, transformation, modelling and visualisation. You'll work closely with stakeholders to understand business requirements, define KPIs and translate these into effective technical solutions. The role will … enabled analytics such as Copilot and natural-language insight. If you're an experienced BI Developer with strong Power BI, SQL and data modelling skills and want to have a genuine impact on how an organisation uses data, this could be an excellent opportunity. Key Responsibilities Design, build ...

partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence. • Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality. • Stay current with emerging data platform technologies, architectural patterns and cloud-native … large-scale, enterprise or transformation programmes. • Proven expertise designing cloud-native data platforms, including MS Fabric, Databricks and AWS • Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). • Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. • Deep understanding ...

pipelines. Experience with cloud platforms such as Azure, AWS or GCP. Knowledge of relational and non-relational databases. Understanding of data warehousing and dimensional modelling, including star and snowflake schemas. Experience with Microsoft Fabric, dbt Cloud, Azure Data Factory or similar tools would be beneficial. Strong analytical ...

e.g., Azure SQL, Snowflake). Experience with ETL/ELT tooling (e.g., SSIS, dbt, Azure Data Factory) and data pipeline design. Understanding of data modelling principles (normalisation, dimensional modelling/star schema for data warehousing). Experience of diagnosing and resolving database performance issues. Familiarity with database ...

collaboratively with other members of the IT and development teams. What Were Looking For Essential Hands-on experience with Power BI Desktop, including data modelling, Power Query and report development. Good working knowledge of DAX, including an understanding of measures, filter context and relationships. Good SQL development skills, including … joins, aggregations, and window functions. Good understanding of dimensional modelling, including facts, dimensions and star-schema design. Experience working with relational databases and data warehouse environments. Strong attention to detail and a disciplined approach to validating the accuracy and consistency of data. Ability to investigate discrepancies between reports ...

Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies ...

including S3, Lambda, Glue, Athena, Kinesis, RDS, IAM and CloudWatch. Lakehouse architectures and open table formats such as Iceberg. Medallion-style data layering and dimensional modelling. Strong SQL and Python development skills. Infrastructure as code using Terraform. CI/CD, automated testing and modern engineering practices. SQL Server, SSIS ...

Python Experience developing and optimizing batch and real-time data processing solutions Strong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principles Experience implementing Infrastructure as Code using tools such as Terraform or CloudFormation Experience leading technical delivery teams ...

Delivery: Experience working in a consultancy, systems integrator, or client-facing setting with direct accountability to project delivery outcomes. Data Modeling: Solid depth in dimensional modeling, NoSQL schemas, and lakehouse/medallion architecture patterns. Data Governance & Operations: Practical experience implementing data catalogues, lineage, access controls, data quality checks ...

datasets, semantic models, dashboards and reports Build ETL/ELT processes using Azure Data Factory and SQL Server Develop data warehouse solutions and dimensional models Translate business requirements into effective technical solutions Analyse data from multiple sources to deliver meaningful insight Apply data quality, governance, testing and documentation standards … dashboards and semantic models Strong SQL and Microsoft data platform experience Experience with Azure Data Factory and SQL Server Knowledge of data warehouses and dimensional modelling Experience translating business requirements into technical solutions Understanding of data quality, governance and testing Strong communication skills with technical and non-technical ...

Requirements Strong understanding of finance processes including General Ledger, Accounts Payable, Accounts Receivable, Fixed Assets, Budgeting and Forecasting. Knowledge of DAX, Power Query and dimensional modelling techniques. Experience supporting global finance functions and multi-currency reporting. Knowledge of manufacturing environments and associated finance processes. Experience supporting ERP implementation ...

maintained on a regular basis. Technical Skill Expert-level Databricks experience Advanced PySpark development Delta Lake architecture and optimisation Databricks SQL Data warehouse Dimensional modelling Data Lake Databricks Genie Python development Key Skills, Experience and Knowledge Extensive Data Engineering experience within enterprise-scale data environments. Extensive hands ...

unique ingredients we’re interested in: An experienced analyst with advanced Power BI, SQL, DAX and Power Query capability, together with strong relational and dimensional modelling knowledge. Confident working with senior stakeholders, challenging assumptions and turning complex or ambiguous questions into high-value analytical outcomes. Experienced in owning ...

transformation. Ensure data is accurate, reliable, secure and available for business use. Support potential data migration and legacy system transformation projects. Apply good data modelling and warehousing practices, including dimensional modelling. Work closely with Data Analysts, Data Scientists and business stakeholders. Translate business requirements into effective technical solutions. … data platforms. Experience with SSIS and/or SSRS . Experience working with data warehouses and/or data lakes . Understanding of data modelling and database design. Experience working with cloud-based data solutions across Azure, AWS or GCP . Strong analytical and problem-solving skills. Ability ...

Strong SQL Server and T-SQL development experience. Experience with SSAS multidimensional and Tabular models, including DAX. Knowledge of ETL processes, data warehousing and dimensional modelling. Familiarity with Azure data services and modern data platforms. Experience with data validation, testing and quality assurance. Understanding of established BI development standards … architectural patterns. What Will Make You Stand Out: Experience with Data Vault and Kimball modelling methodologies. Programming or scripting skills. Strong problem-solving abilities and a proactive approach to troubleshooting. Experience supporting junior developers through knowledge sharing and peer reviews. If you are interested in the role please apply. ...