24 of 24 Dimensional Modelling Jobs in the UK excluding London

engineers and driving adoption of DevOps and CI/CD best practices within the data function Contribute to the evolution of a modern event-sourcing architecture, enabling efficient data modelling, streaming, and transformation across platforms Collaborate with cross-functional teams - including Business Analysts, Product Owners, and fellow Senior Data Engineers - to translate business needs into robust technical solutions Champion … Lake and streaming Strong programming skills in Python with experience in software engineering principles, version control, unit testing and CI/CD pipelines Advanced knowledge of SQL and data modelling (dimensional modelling, fact/dimension structures, slowly changing dimensions) Managing and querying data lakes or Lakehouse's Excellent communication skills with the ability to explain complex technical More ❯

Commissioner's Office. Skills & Experience A degree in statistics, mathematics or a statistically-related discipline Demonstrate work experience with Microsoft Fabric, Mulesoft, BI Developer or Data Scientist Strong data modelling background with experience working with multiple data sources both cloud and on-premise Industry experience in delivering Power BI/Microsoft Analytics solutions, with a good grounding in all … BI Report Server or Cloud based Service, or similar visualisation experience. Database including MS-SQL, Oracle Database, Data warehousing, SQL and XML. Microsoft Fabric experience R or Python predictive modelling/classification Experience in building dashboards, reports and cubes using SQL, MDX, DAX, Power Query M Code, Power BI or other visualisation tools. Detailed understanding or experience of how … requirements and understand the business on different levels. Experience in developing new or maintaining and improving existing ETL processes. Experience in establishing and maintaining collaborative relationships with stakeholders. Understanding dimensional modelling ideally for Public Sector Good communications, interpersonal and presentation skills in order to influence internal stakeholders. Ability to self-manage and work in a dynamic environment. Experience More ❯

and Warehouse environments Implement CI/CD processes using Azure DevOps for secure, reliable deployment Technical Skills: Strong expertise in: Power BI and paginated reporting SQL and data architecture Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling) DAX, Visual Studio and data transformation logic Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies … for structured and unstructured data Proficiency in: PySpark, T-SQL, Notebooks and advanced data manipulation Performance monitoring and orchestration of Fabric solutions Power BI semantic models and Fabric data modelling DevOps deployment using ARM/Bicep templates End-to-end delivery of enterprise BI/data warehouse solutions Reasonable Adjustments: Respect and equality are core values to us. We More ❯

e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts … delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing … Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation More ❯

e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts … delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing … Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation More ❯

e.g. subscription billing), SQL sources, SharePoint and SFTP using ADF + metadata-driven frameworks . Apply Lakeflow expectations for data quality, schema validation and operational reliability. Curated Data Layers & Modelling Build clean, conformed Silver/Gold models aligned to enterprise business domains (customers, subscriptions, deliveries, finance, credit, logistics, operations). Deliver star schemas, harmonisation logic, SCDs and business marts … delivering production workloads on Azure + Databricks . Strong PySpark/Spark SQL and distributed data processing expertise. Proven Medallion/Lakehouse delivery experience using Delta Lake . Solid dimensional modelling (Kimball) including surrogate keys, SCD types 1/2, and merge strategies. Operational experience-SLAs, observability, idempotent pipelines, reprocessing, backfills. Mindset Strong grounding in secure Azure Landing … Clear communicator who can translate technical decisions into business outcomes. Nice to Have Databricks Certified Data Engineer Associate Streaming ingestion experience (Auto Loader, structured streaming, watermarking) Subscription/entitlement modelling experience Advanced Unity Catalog security (RLS, ABAC, PII governance) Terraform/Bicep for IaC Fabric Semantic Model/Direct Lake optimisation More ❯

using Azure + Databricks , with Power BI sitting on top of a fully curated Gold Layer. They develop everything using PBIP + Git + Tabular Editor 3 , and semantic modelling is treated as a first-class engineering discipline. This is your chance to own the creation of high-quality datasets and dashboards used across Operations, Finance, Sales, Logistics and … into insights the business relies on every day. Why This Role Exists To turn clean, curated Gold Lakehouse data into trusted, enterprise-grade Power BI insights.You'll own semantic modelling, dataset optimisation, governance and best-practice delivery across a modern BI ecosystem. What You'll Do Semantic Modelling with PBIP + Git Build and maintain enterprise PBIP datasets … fully version-controlled in Git. Use Tabular Editor 3 for DAX, metadata modelling, calc groups and object governance. Manage branching, pull requests and releases via Azure DevOps . Lakehouse-Aligned Reporting (Gold Layer Only) Develop semantic models exclusively on top of curated Gold Databricks tables . Work closely with Data Engineering on schema design and contract-first modelling. Maintain More ❯

using Azure + Databricks , with Power BI sitting on top of a fully curated Gold Layer. They develop everything using PBIP + Git + Tabular Editor 3 , and semantic modelling is treated as a first-class engineering discipline. This is your chance to own the creation of high-quality datasets and dashboards used across Operations, Finance, Sales, Logistics and … insights the business relies on every day. ? Why This Role Exists To turn clean, curated Gold Lakehouse data into trusted, enterprise-grade Power BI insights. You'll own semantic modelling, dataset optimisation, governance and best-practice delivery across a modern BI ecosystem. ? What You'll Do Semantic Modelling with PBIP + Git Build and maintain enterprise PBIP datasets … fully version-controlled in Git. Use Tabular Editor 3 for DAX, metadata modelling, calc groups and object governance. Manage branching, pull requests and releases via Azure DevOps . Lakehouse-Aligned Reporting (Gold Layer Only) Develop semantic models exclusively on top of curated Gold Databricks tables . Work closely with Data Engineering on schema design and contract-first modelling. Maintain More ❯

inflight activities using Microsoft information architecture. Contribute to ERP implementation projects and data migration activities. Ensure data governance and compliance standards are maintained throughout all initiatives. Core Requirements Data Modelling Expertise: Strong experience in developing and maintaining logical and conceptual data models. Microsoft Information Architecture: Solid understanding of Microsoft Purview and related data governance tools ERP Implementation: Hands-on … principles. ETL/ELT Processes: Experience designing and implementing data integration workflows. Business Intelligence: Knowledge of reporting and analytics platforms (Power BI, SSRS, or similar) Data Warehousing: Experience with dimensional modelling and data warehouse architecture patterns API Integration: Understanding of REST/SOAP APIs and data service architectures. Data Security: Knowledge of data privacy regulations (GDPR) and security More ❯

Data Modelling Consultant Location: London (3 days per week onsite) Salary: £50,000 - £65,000 + benefits The Company Join a global management consultancy known for delivering large-scale data and digital transformation projects across financial services, capital markets, and energy. You will be part of a collaborative, fast-growing Data Architecture practice that helps some of the world … with stakeholders to gather and interpret data requirements Support metadata management, documentation, and governance activities Contribute to ETL design and data movement between systems Gain hands-on experience with modelling tools such as ERWin, Sparx, or RSA Your Skills and Experience 2-4 years of experience in data modelling or data architecture Exposure to relational and dimensional modelling (3NF, star, snowflake) Strong SQL and data warehousing knowledge Experience in financial services or consulting is highly desirable Strong communication and stakeholder engagement skills More ❯

and deliver robust reporting solutions. You’ll bring: Strong SQL and ETL development skills Experience with Azure Data Factory and Power BI Solid understanding of data warehousing principles and dimensional modelling A collaborative mindset — you enjoy sharing ideas and improving processes Why Join You’ll join a growing BI function within a business that genuinely values its engineering More ❯

team development etc) Very strong technical skills that will include - SQL, SSIS, SSRS, SAS, Power BI, Power Platform, Azure Data Factory, Azure Data Lake, Databricks A good understanding of dimensional modelling techniques, including Kimball's Business Development Lifecycle Ability to design hybrid data solutions across on-prem and cloud data sources Expert with data engineering tools and automation More ❯

a team of data engineers, analytics engineers, data scientists and AI specialists to design and evolve scalable data platforms and modern data products that enable self-service analytics, advanced modelling, and AI-driven decision-making across our insurance business. What you’ll do: Design and manage scalable cloud data platforms (Databricks on AWS) across development, staging, and production environments … ensuring reliable performance and cost efficiency. Integrate and model data from diverse sources – including warehouses, APIs, marketing platforms, and operational systems – using DBT, Delta Live Tables, and dimensional modelling to deliver consistent, trusted analytics. Enable advanced AI and ML use cases by building pipelines for vector search, retrieval-augmented generation (RAG), feature engineering, and model deployment. Ensure security … contributing to architectural decisions, authoring ADRs, and participating in reviews, data councils, and platform enablement initiatives. What we’d love you to bring: Proven, hands-on expertise in data modelling, with a strong track record of designing and implementing complex dimensional models, star and snowflake schemas, and enterprise-wide canonical data models Proficiency in converting intricate insurance business More ❯

experience as a Senior or Lead data engineer Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies AWS or Azure cloud experience Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering … in the office). To apply, press apply now or send your CV to Keywords: Lead Data Engineer/Azure Databricks/AWS/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you More ❯

particular focus on enhancing fan engagement through digital platforms. Key Responsibilities Design and develop ETL/ELT pipelines in Azure and Databricks, ensuring reliability and performance. Construct Kimball-style dimensional models to support analytics and reporting. Implement automated testing for data quality assurance and validation. Ensure compliance with data governance, legal, and regulatory standards . Collaborate with the wider More ❯

particular focus on enhancing fan engagement through digital platforms. Key Responsibilities Design and develop ETL/ELT pipelines in Azure and Databricks, ensuring reliability and performance. Construct Kimball-style dimensional models to support analytics and reporting. Implement automated testing for data quality assurance and validation. Ensure compliance with data governance, legal, and regulatory standards . Collaborate with the wider More ❯

as a lead data engineer/Data Engineering Manager with some management experience Experience handling large datasets, complex data pipelines, big data processing frameworks and technologies Experience with data modelling, data integration ETL processes and designing efficient data structures Strong programming skills in Python, Java, or Scala Data warehousing concepts and dimensional modelling experience Any data engineering … week in the office). To apply, press apply now or send your CV to Keywords: Head of Data Engineering/Azure Databricks/ETL/Python/data modelling Flexible working - Preston - Blackpool - Manchester - Warrington - Liverpool - Bolton - Blackburn Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you More ❯

higher) qualification isrequired, and holding Solution Architect or Master Anaplanner status is astrong advantage. Applicants should possess knowledge of the Anaplan IntegratedFinance Planning Application, a solid understanding of multi-dimensionalmodelling, agile methodologies, and Anaplan best practices. Advanced Excelmodel building skills are essential, and experience with reporting systems suchas Qlik or Power BI will be beneficial. Exceptional communication skills arerequired, as More ❯

ll bring: Experience in analytics, AI/data science, or data product environments - ideally within ad tech, media, or digital. Strong grasp of data warehousing concepts - data flows, ETL, dimensional modelling, and data quality. Solid SQL skills and the ability to interrogate complex data from diverse sources. Hands-on understanding of cloud-based data architectures A proven ability More ❯

Streams, Snowpark, Time Travel, Secure Data Sharing) to improve automation and accessibility. Collaboration: Work closely with analysts and stakeholders to deliver data products and troubleshoot issues. Analytics Enablement: Implement dimensional models to provide clean, reusable datasets for reporting and advanced analytics. Monitoring & Reliability: Maintain monitoring, alerting, and cost-management processes for Snowflake and pipelines. Continuous Improvement: Contribute to shared … transformations and pipeline automation. Practical experience with Snowflake features and RBAC management. Familiarity with ingestion tools (Airbyte, Fivetran, Hevo) and cloud services (AWS preferred). Solid understanding of data modelling, governance principles, and BI enablement (Power BI). Knowledge of CI/CD and version-controlled development practices in git. Desirable: Experience with enterprise systems (CRM, BSS/OSS More ❯

#39;ll design scalable, future-proof data architectures and provide technical leadership across transformation programmes: Architecture & Design: Design enterprise data architectures for Snowflake and Azure cloud ecosystems Create dimensional data models (star schema, snowflake schema, Data Vault) supporting analytics and BI Define data strategy and governance frameworks – lineage, cataloging, security, compliance Lead solution design for data warehouse, data … Conduct architecture reviews and design authority for data solutions Mentor engineers on best practices in data modeling, performance optimization, and cloud architecture ESSENTIAL SKILLS: Data Modeling expertise - Star schema, dimensional modeling, Data Vault, logical/physical design Snowflake Cloud Data Platform - Architecture design, performance tuning, cost optimization, governance Azure Data Factory - Pipeline architecture, orchestration patterns, best practices Azure Databricks More ❯

feedback efficiently in an iterative manner Develop and abide by standard methodologies for scalable and repeatable insights. Translate existing spreadsheets/mockups and business problems into sophisticated Anaplan multi-dimensional models Modify existing models as part of a connected solution, optimization, or to incorporate new functionality Implement standard processes and documentation for Anaplan models Lead data integration and migration More ❯

and data products. Influence and inform decision-makers using compelling data storytelling, strategic analysis, and visual narratives. Act as a subject matter expert in Power BI, including DAX, data modelling, and visualization best practices. Build strong relationships with cross-functional stakeholders, ensuring alignment between BI outputs and business goals. Contribute to the continuous improvement of BI practices, tools, and … work under pressure and work to strict reporting deadlines. Excellent organisational and time management skills. Technical skills: Data Manipulation, Data Validation, Data Cleaning, Row Level Security, Relational Databases Management, Dimensional Modelling. Soft skills: Stakeholder Management, Problem Solving, Communication, Logical Reasoning, Questioning Nature, Dataflows, Data Pipelines, Data Validation, Attention to Detail Programmes: Power BI, SQL, Microsoft Packages Desirable Criteria: Experience More ❯

helping enterprise clients structure, govern, and leverage data effectively. The Role As a Senior Data Modeller, you will act as a hands-on lead across client projects, setting data modelling standards and ensuring delivery across multiple stakeholders. You will design frameworks, define best practice for data structures, and drive consistency across systems while remaining highly involved in technical delivery. … Key Responsibilities Lead on data modelling design and implementation across client programmes Create relational and dimensional models for enterprise data warehouses and analytics platforms Define metadata standards, data catalogues, and lineage documentation Collaborate with architects, engineers, and business stakeholders to ensure data models meet business needs Support data migration, governance, and transformation initiatives Your Skills and Experience 5+ … years of experience in data modelling or architecture, ideally within financial services or consulting Strong knowledge of relational and dimensional design (3NF, star, snowflake) Proficient in ERWin, Sparx, or similar tools Experience working with semi-structured data (JSON, XML, Parquet) Excellent communication and client-facing skills More ❯