1 to 25 of 29 Remote/Hybrid Dimensional Modelling Jobs in London

help turn a growing analytics estate into a clear, governed and scalable foundation for better decisions, better products and trustworthy AI-powered experiences. Data modelling is at the heart of this role. You’ll shape the layered warehouse model, define the grains and conformed dimensions, and design the semantic … models that other people can confidently build on. What you’ll be doing Own the analytics data architecture end to end, including layers, modelling conventions, data contracts and the governed semantic layer. Build the foundational curated layer yourself, creating dimensional models with clear grain, conformed dimensions ...

cases. In this D&A architecture role, you will define shared information models, create conceptual and logical designs, establish naming and modelling standards, and create information blueprints that engineering teams can implement. Working across commerce, manufacturing and supply chain operations spanning clusters and markets, you will make data easier … products, customers, suppliers and stores, establishing authoritative sources and harmonisation patterns across systems together with master data responsible teams. Establish information quality measures, modelling standards and metadata expectations embedded in architectural patterns: operational schemas in bronze, conformed and dimensional entities in silver, and consumption-ready models in gold. ...

need to arrive doing all three confidently - you need to be strong in analysis and reporting today, and genuinely keen to develop into the modelling and engineering side with support from the team. You will be part of the bridge between our small data team and the rest … will report to the BI Lead and work closely with our Data Engineer, who you'll pair with regularly as you build up the modelling and engineering side of the role. The team is small and deliberately focused - we aim to do fewer things better, rather than spread thin ...

data architecture experience, including at least three years delivering Power BI at enterprise scale. Expert knowledge of Power BI, DAX, Power Query (M), semantic modelling and dimensional modelling, supported by strong SQL capability. Hands‐on experience with Power BI Service, Premium or Microsoft Fabric capacity, gateways, deployment ...

pipeline workflows, including unit testing, integration testing, and data quality validation frameworks Proven experience leading technical aspects of data projects Strong data architecture and modelling skills with the ability to design scalable data solutions Deep understanding of data warehouse design principles and methodologies Advanced knowledge of optimisation techniques … Azure data stack Knowledge of workflow orchestration tools like Azure Data Factory or Apache Airflow Experience with containerisation technologies like Docker Proficiency in dimensional modelling techniques Experience with CI/CD pipelines for data solutions Strong communication skills for translating complex technical concepts You may also have some ...

larger Technology department to enable and drive the adoption of data-driven decision-making across the organisation. You will have extensive experience of data modelling at all phases from context, through conceptual models to logical and canonical models. You will be a skilled user of an advanced modelling … tool such as erwin Data Modeler, ER/Studio or Sparx Enterprise Architect. Your primary focus will be on delivering conceptual, logical, canonical and dimensional models that support trusted data products and star schemas for actionable operational, tactical and strategic insights. These models will increasingly be implemented within ...

This is a hands‐on technical role suited to someone with a strong command of dbt and Databricks who is passionate about data quality, modelling best practice, and enabling genuinely self‐serve, data‐driven decisions. You will contribute across the full data modelling lifecycle, from design and development … still evolving as we build them. As an Analytics Engineer, You Will: Provide subject matter expertise to help shape and guide the overall data modelling strategy across our data domains. Design and implement dbt models on Databricks to support a comprehensive and unified view of subscriptions and content data. ...

Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling, lakehouse patterns, and the governance and operational setup of tools like dbt, and applies data security and GDPR ...

Strong experience working with GCP (or a comparable cloud platform), Infrastructure as Code, and CI/CD practices. Deep understanding of data storage and modelling principles, including dimensional modelling,lakehousepatterns, and the governance and operational setup of tools likedbt, and applies data security and GDPR principles ...

Data & Analysis standards Ensure compliance with company data governance, risk and security policies Support the BI Manager and BI Analysts with data engineering, architecture, modelling and best practices Help upskill the BI team and promote consistent data and BI practices across the organisation ESSENTIAL SKILLS AND EXPERIENCE Strong experience … 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 programming skills for data manipulation ...

implementing solutions on AWS data and analytics platforms.* Proven expertise in data integration and analytics platforms on AWS, with strong understanding of data warehousing, dimensional modelling, and lakehouse/data lake concepts.* Experience with AWS cloud platform, including Amazon S3, AWS Lake Formation, AWS Glue, Amazon Redshift, Amazon ...

+ benefits This is a rare opportunity to join an organisation undertaking a major data and digital transformation, with a clear path from data modelling into data architecture. You will step into a role designed for long‐term growth, working closely with senior architects and influencing how data … support key business initiatives Contribute to the design and evolution of data architecture standards and best practices Work across multiple projects, ensuring consistency in modelling approaches and data structures Collaborate with data engineers, analysts, and governance teams to deliver high‐quality data solutions Support the transition towards modern, cloud ...

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 ...

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 ...

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 ...

warehouse using an ETL/ELT tool, preferably Oracle ODI or dbt Significant database experience in Snowflake and/or Oracle Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions for business requirements Experience ...

products, customers, suppliers, and stores, establishing authoritative sources and harmonization patterns across systems together with master data responsible. Establishing data quality measures and modelling standards embedded in architectural patterns: operational schemas in bronze, conformed and dimensional entities in silver, and consumption-ready models in gold. Reviewing key physical … ensuring consistent understanding across technical and business stakeholders. Mentoring teams on data architectural best practices while documenting anti-patterns to avoid common pitfalls in dimensional modelling and naming standards. Qualifications Proven experience designing enterprise-scale information architectures (multi-source, multi-domain at scale) that successfully went into production. ...

effective relationships with stakeholders and collaborate across multidisciplinary teams. Experience working with Microsoft Fabric, Azure Data Services or modern cloud analytics platforms. Understanding of dimensional modelling, data warehousing and semantic models. Knowledge of DAX and Power Query. Experience within policing, criminal justice, public sector or other regulated environments. ...

Data Analytics Engineer, you’ll sit at the intersection of data engineering and analytics. You’ll use strong software engineering and data modelling practices to develop production-quality datasets, while working closely with stakeholders to understand how data can help solve real business problems. You’ll also help … Operations, and client-facing teams to understand requirements, clarify business logic, and translate problems into scalable data solutions Helping define and maintain consistent metrics, modelling standards, and analytical best practices across the business Supporting our journey towards more real-time and incremental data processing, including working with technologies such ...

models, supporting data migration initiatives, and helping shape the target data architecture. Key Responsibilities Design conceptual, logical and physical data models. Define data standards, modelling practices and governance frameworks. Work closely with Data Engineers, Solution Architects and business stakeholders. Support migration from legacy systems to modern cloud-based data … data quality and governance requirements. Produce architecture and design documentation. Model and analyse data from Salesforce and associated enterprise systems. Essential Experience Strong Data Modelling experience (Conceptual, Logical & Physical). Enterprise Data Architecture expertise. Hands-on experience with Salesforce data models , objects and integrations. Data warehousing and dimensional ...

into practical reporting and analytical solutions. Supporting the development of self‐service analytics. Mentoring BI Developers and providing guidance on Power BI, DAX, data modelling and development standards. Conducting code reviews and quality‐assurance activities. Communicating technical recommendations clearly to both technical and non‐technical stakeholders. What … complex enterprise environment. Expert knowledge of Power BI Desktop and Power BI Service. Advanced experience with DAX, Power Query and SQL. Strong knowledge of dimensional modelling, star‐schema design and semantic models. Experience with Power BI administration, workspace management, dataflows and deployment pipelines. Experience working with cloud ...

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 ...

prototyping and proof-of-concept builds within Databricks to demonstrate platform capabilities and accelerate client adoption Provide best practice guidance on Lakehouse architecture, data modelling, workload optimisation, and cost management Produce high-quality technical documentation including architecture diagrams, architecture decision records (ADRs), runbooks, and deployment guides Enable client teams … e.g. Terraform preferred) and CI/CD pipelines (e.g. Azure DevOps, GitHub Actions) Solid understanding of data architecture concepts including Lakehouse medallion architecture and dimensional modelling Familiarity with security and governance frameworks (e.g. RBAC, ABAC, data masking, audit, compliance standards) Excellent communication skills with the ability to explain ...

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 ...

other routine healthcare data at patient level Unity Catalog, Delta Lake and medallion structure, bronze to silver to gold Exposure to dbt and dimensional modelling Experience contributing to vendor or partner relationships, such as with Databricks Experience designing for multi-region operations (UK, Middle East, EU) Flexible working ...