26 to 50 of 161 Dimensional Modelling Jobs in the UK

Data & AI Intelligence capabilities. Strong experience defining enterprise solution architecture across data engineering, analytics, machine learning, and Generative AI platforms. Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture. Experience designing modern ML platforms and LLMOps architectures, including model lifecycle … Engineer Associate, Databricks Solutions Architect accreditation, or equivalent advanced Databricks certifications. Experience defining enterprise operating models for Data & AI platforms. Expertise in enterprise data modelling and semantic layer design. Experience with cloud‐native architecture frameworks and Infrastructure as Code. Experience leading multi‐disciplinary delivery teams across architecture, engineering ...

broader Data & AI Intelligence capabilities.Strong experience defining enterprise solution architecture across data engineering, analytics, machine learning, and Generative AI platforms.Expertise in enterprise data modelling, dimensional modelling, semantic layer design, data product thinking and information architecture.Experience designing modern ML platforms and LLMOps architectures, including model lifecycle management … Generative AI Engineer Associate, Databricks Solutions Architect accreditation, or equivalent advanced Databricks certifications.Experience defining enterprise operating models for Data & AI platforms.Expertise in enterprise data modelling and semantic layer design.Experience with cloud-native architecture frameworks and Infrastructure as Code.Experience leading multi-disciplinary delivery teams across architecture, engineering, and AI disciplines.Experience ...

scalability and end-user experience. Apply data security controls and reporting governance best practices. Support testing, deployment and ongoing optimisation of reporting products. Data Modelling & Analytics Design robust dimensional models to enable accurate and consistent reporting. Build and maintain fact and dimension structures aligned to business needs. Work … training, adoption and knowledge sharing. Required Experience We're interested in candidates who can demonstrate strong commercial experience across business intelligence, reporting and data modelling disciplines. Technical Requirements Proven expertise delivering Power BI solutions in enterprise environments. Advanced DAX development experience. Strong SQL querying and performance optimisation skills. Experience ...

robust data models and pipelines, understands financial logic and is happy to work with finance stakeholders. You’ll bring advanced SQL skills, strong data modelling instincts, and the ability to build scalable, well‐structured data infrastructure that finance teams can rely on. Finance domain knowledge is important, but your … where your technical contributions directly shape how the business understands its finances – we’d love to hear from you. Day to day responsibilities Data modelling & pipeline ownership: Design, build, and maintain robust data models and transformation pipelines in dbt or equivalent tooling, ensuring finance data is structured, reliable ...

Omni. As our Data & Analytics Engineer, you will play a pivotal role in shaping the platform from the ground up, working across data engineering, modelling, reporting and stakeholder enablement. This is a rare opportunity to influence technology choices, establish best practices, and help embed a data-driven culture across … Development or Analytics Engineering, with a strong desire to develop and grow alongside the platform Strong SQL skills and a solid understanding of data-modelling principles (e.g. dimensional modelling, 3NF) Working knowledge of SQL Server or a comparable relational engine beyond writing queries: execution plans, indexing ...

governed reporting content Strong experience developing enterprise-scale BI, data warehousing, and analytics solutions Strong SQL skills, including query writing, performance tuning and data modelling for reporting purposes Proven ability to work with a diverse group of stakeholders across multiple business functions, translating requirements into practical reporting solutions Ability … deliver end‐to‐end reporting solutions Experience implementing data validation and quality checks within reporting datasets and pipelines Strong understanding of data modelling concepts (e.g. star schema, dimensional modelling BSc/BA in Computer Science, Data/Business Analytics, or a relevant field (or equivalent experience) Exposure ...

DeliveryLead a concept through our solution development lifecycle considering standard principles like optimisation and scalability.Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing projects.Oversee end-to-end data processes such as ingestion, transformation, modelling, and integration across multiple external, facing … Java, or C# also beneficial).Strong SQL skills and deep understanding of relational databases, non-relational stores, and data warehouse principles.Solid experience with data modelling methodologies (dimensional modelling, star/snowflake schemas, data vault, etc.).Experience designing and operating ETL/ELT pipelines and modern workflow orchestration ...

Lakehouse Architecture, and Medallion Design Patterns. Strong hands-on knowledge of Databricks, Spark/PySpark, SQL, and data engineering best practices. Expertise in data modelling techniques including dimensional modelling, Data Vault, and canonical data models. Strong understanding of data integration, ETL/ELT frameworks, API integration ...

their extensibility models.Understanding of vector databases, RAG architectures, and embedding-based retrieval.Experience with containerisation (Docker) and/or CI/CD pipelines.Exposure to data modelling (including dimensional modelling) and/or metadata management.Why Fitch At Fitch Group, the combined power of our global perspectives is what differentiates ...

requirement for a Data Solution Architect to design, lead and deliver scalable, enterprise-grade data platforms. This role requires deep expertise in data architecture, dimensional data modelling (Kimball) and modern cloud-based data ecosystems (ideally Databricks) . Core Technical Expertise Strong experience in data solution architecture within enterprise … environments Proven hands-on expertise in data warehousing concepts and implementation Deep knowledge of Kimball dimensional modelling methodology. Platforms & Tools Experience with Databricks (preferred) or similar platforms: Snowflake, BigQuery, Redshift, Synapse, or equivalent Strong proficiency with: SQL (advanced level) Spark/PySpark Data pipeline orchestration tools (e.g., Airflow ...

conducting rigorous code reviews. Proven experience designing and building complex, scalable data pipelines using both batch and streaming/event driven patterns. Strong data modelling skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models. Experience with Dataform ...

Proficiencyin programming languages such asPythonandSQL fordata processing and transformation. Experience designing and implementingETL/ELT pipelines, data integration patterns, and workflow orchestration. Understanding ofdata modelling concepts(dimensional modelling, data vault, normalized schemas) and when to apply them. Knowledge ofdata governance, data quality, and metadata managementprinciples. Experience withInfrastructure ...

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 ...

conducting rigorous code reviews. Proven experience designing and building complex, scalable data pipelines using both batch and streaming/event driven patterns. Strong data modelling skills: dimensional modelling, data vault, or equivalent, with a track record of building well structured, reusable BigQuery data models. Experience with Dataform ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

solid foundation in systems development: must understand the system development life cycle, project management approaches, and requirements, design, and test techniques.Demonstrable experience of data modelling and design in a large complex organisation Experience and understanding of both established and emerging data technologies, including established data management and reporting technologies.Expert … knowledge of SQL databases alongside some knowledge of columnar and NoSQL databases, predictive analytics, data visualization, and unstructured dataStrong understanding of various data modelling methodologies (e.g., dimensional modelling, data vault).Demonstrate a good understanding of Data/Information Governance principles and familiarity with processes, policies ...

resolving data quality issues before they reach executive reporting. Support platform adoption through documentation, standards, and knowledge transfer, contributing to best practices for data modelling, naming conventions, and dataset architecture. Participate in peer reviews of data models to ensure consistency and quality before release into business-critical decks … experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data modelling principles — star schema, dimensional modelling, DAX. Experience with Power BI and the Microsoft Power Platform, including building on top of central/curated data models. ...

resolving data quality issues before they reach executive reporting.Support platform adoption through documentation, standards, and knowledge transfer, contributing to best practices for data modelling, naming conventions, and dataset architecture.Participate in peer reviews of data models to ensure consistency and quality before release into business-critical decks and workbooks.RequirementsBachelor … .Proficiency in SQL and experience building and optimising semantic or data models at scale, including window functions and complex business logic.Solid understanding of data modelling principles — star schema, dimensional modelling, DAX.Experience with Power BI and the Microsoft Power Platform, including building on top of central/curated ...

Design, build and maintain data pipelines, ETL processes and data models Make and document architectural and data-modelling decisions Integrate and transform diverse data sources into a reliable, unified data platform Design and implement database schemas for large volumes of structured and unstructured data Build scalable and maintainable data … production data engineering solutions Advanced SQL and an excellent understanding of databases Strong Python skills for data engineering Strong understanding of data warehousing and dimensional/data modelling Experience designing and operating production data pipelines Experience with a modern cloud data warehouse such as Snowflake, BigQuery or Redshift ...

fluently, debug it fast and critically review it - including AI-generated code, with a sharp eye for where it goes subtly wrongProven data modelling ownership - Dimensional modelling, defining grain and shaping the structure of a data domain from the ground up for warehousing and BIDeep, hands ...

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 ...

.* Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity ...

data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse architectures and dimensional modelling. Experience delivering scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming ...

data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse architectures and dimensional modelling. Experience delivering scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming ...