51 to 75 of 96 Dimensional Modelling Jobs in the UK

engineering standards Your Skills & Experience Strong commercial Data Engineering experience Advanced SQL and Python skills Experience designing modern cloud data architectures Strong understanding of dimensional modelling and data warehousing Exposure to Azure, AWS, and GCP environments Familiarity with CI/CD pipelines and DevOps practices Knowledge of DataOps ...

partners. Experience required: Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platforms Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar ...

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 ...

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 ...

presentations and pre-sales support. Required Skills & Experience Significant experience as a Data Architect within consulting or large, complex organisations. Strong background in data modelling and design (e.g. dimensional modelling, data vault). Experience designing Data Lake, Lakehouse and Data Mesh architectures. Strong understanding of SQL databases ...

authority for data and AI innovation across RES.Key AccountabilitiesOwn Strategic Platform Direction: Define the target-state data and AI architecture, governance frameworks, and data modelling standards across Microsoft Fabric and Azure, aligned with global business goals. Design the Data-to-AI Interface: Establish how enterprise data is structurally modelled … using star schemas, semantic layers, dimensional modelling, and knowledge ontologies) to ensure autonomous AI agents can search, retrieve, and reason over data reliably without hallucinating. Pioneer Agentic AI Services: Lead the hands-on design, coding, and prototyping of multi-agent workflows and custom AI services; set rigorous automated ...

data and analytics capabilities. Working within a complex insurance environment, you will define the future-state data architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery … transition from legacy policy, claims, and finance systems to modern cloud data solutionsEstablish architectural patterns supporting data domains, data products, and reusable assetsData Modelling Skills & ExperienceExcellent understanding of conceptual, logical, and physical data modelling principles. Experience designing enterprise data models, reporting marts and business specific data products. Ability ...

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 ...

configure row-level security (RLS).What You BringSignificant hands on experience productionising Power BI reports and managing live estates. Deep expertise in DAX, dimensional modelling (star schema), and layered data architectures. Demonstrable excellence with SQLExposure to Microsoft Fabric, Azure Synapse, or Azure Data FactoryHigh technical rigor and diplomatic ...

strategic partners.Experience required:Strong experience in data engineering, including ETL/ELT, data pipelines and modern cloud data platformsStrong understanding of data warehousing, dimensional modelling, Kimball principles and data architectureAdvanced SQL/T-SQL skills, including query development, optimisation and troubleshootingStrong Python, PySpark or similar programming skills ...

data models and transformation pipelines that support reporting, analytics, and business decision-making. Key Responsibilities: Lead the design and development of curated, analytics-ready dimensional and semantic data models. Build, maintain and optimise complex SQL and PySpark transformation pipelines within Databricks. Define and maintain KPI definitions, conformed dimensions … consistent business logic across data domains. Ensure data quality, integrity, testing, observability and performance across the curated data layer. Lead modelling design reviews and contribute to technical and architectural decisions. Work closely with Data Architects, BI Developers, analysts and business stakeholders to translate requirements into effective data solutions. Establish ...

data and analytics capabilities. Working within a complex insurance environment, you will define the future-state data architecture, champion best practices in data modelling and governance, and help create a scalable, data-driven foundation for the business. Leveraging your expertise in Snowflake and dbt, you will enable the delivery … transition from legacy policy, claims, and finance systems to modern cloud data solutionsEstablish architectural patterns supporting data domains, data products, and reusable assetsData Modelling Skills & ExperienceExcellent understanding of conceptual, logical, and physical data modelling principles. Experience designing enterprise data models, reporting marts and business specific data products. Ability ...

Experience Strong experience with Microsoft Fabric, Azure Databricks and Azure Data Factory. Solid knowledge of Delta Lake, Medallion Architecture, PySpark and SQL. Expertise in dimensional modelling and star schema design. Advanced Power BI development, including DAX and semantic modelling. Experience with Azure security, governance, DevOps and CI/ ...

using Azure DevOps Desirable Skills Experience with Kafka and real-time or streaming data solutions Exposure to Debezium and CDC frameworks Knowledge of Kimball dimensional modelling and enterprise data warehouse design principles If this Data Engineer role sounds like a good fit, you can work 3 days ...

define data lineagePrevious experience and an understanding of Policy/Claims data elements would be a preference. Knowledge of data warehouse principles i.e. Dimensional modelling, Kimbal, Start Schemas, incremental loading, master data management etcUnderstanding and ability to profile data and identify Data Quality issuesRequirements gathering and analysis skillsCompensation ...

integration. Hands-on data engineering: Design and build production-grade SQL and Python pipelines, integrating data from multiple internal and external platforms. Data modelling: Develop scalable data models covering clients, entities, transactions, alerts, screening outcomes, risk ratings, investigations and audit records. Data quality and governance: Establish automated testing, reconciliation … backed by strong SQL/Python engineering and experience leading data platform delivery. Essential experience: Extensive, hands-on Snowflake engineering experience, including architecture, data modelling, performance optimisation, warehouse management, security and cost control. Advanced dbt expertise, having designed and developed production transformation frameworks rather than simply worked with existing ...

troubleshooting complex SQL Server and T-SQL solutions. Creating and enhancing semantic and tabular data models. Supporting SSAS cube development and DAX calculations. Applying dimensional modelling and data warehousing best practices. Working with analysts and stakeholders to translate business requirements into technical solutions. Investigating and resolving data quality … Skills & Experience You will have strong commercial experience with: SQL Server and SQL development. ETL development and data pipeline engineering. Data warehousing principles and dimensional modelling. Star schema, Kimball methodologies, semantic models, and tabular models. DAX. Working within fast-paced delivery environments. Communicating effectively with both technical ...

relational database technologies. Proven ETL experience, with SSIS being essential. Experience with scripting languages such as Python or PowerShell. Strong understanding of data modelling, warehousing concepts, and dimensional modelling. Experience working with cloud platforms such as Azure and/or AWS.Knowledge of Agile delivery environments and the Software ...

solutions, including dashboard design and data visualisationStrong technical knowledge of ERP-derived financial data, data extraction and transformation, reconciliation, data quality and Star Schema dimensional modelling.Experience with Microsoft Fabric, Direct Lake, SQL, DAX and M Coding. Proven ability to develop team capability, strengthen technical reporting skills and support individual ...

business stakeholders to design scalable analytics solutions and AI-ready data architectures. This will include working across data structures, semantic models, metric layers and dimensional modelling. You'll also help establish reusable standards and best practices across analytics, supporting teams to deliver solutions that are scalable, secure, governed … delivering enterprise-scale analytics solutions Excellent SQL skills Strong experience with Power BI Experience working with Microsoft Fabric and Azure Databricks Strong knowledge of dimensional modelling, semantic models and analytics data architecture Experience establishing analytics standards, best practices and reusable technical patterns Ability to combine strategic thinking with ...

will: Build and maintain ETL processes and data pipelines. Develop and optimise SQL Server and T-SQL solutions. Design and enhance semantic, tabular, and dimensional data models. Support SSAS cube development and DAX calculations. Work closely with data and business analysts to translate requirements into technical solutions. Troubleshoot data … Server and T-SQL development. Proven ETL development and data pipeline experience. Solid understanding of data warehousing principles and best practices. Experience with dimensional modelling, including concepts such as star schema, semantic models, tabular models and Kimball methodologies. Exposure to DAX development. Experience working across complex data environments ...

Experience with GCP Experience with Airflow Strong experience building and maintaining ELT/ETL pipelines Experience working with Looker and LookML Knowledge of dimensional modelling and analytics best practices Experience collaborating with both technical and non-technical stakeholders Experience working with AI tooling APPLY BELOW ...

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 ...