1 to 25 of 63 Remote/Hybrid Dimensional Modelling Jobs in the UK

data transformation, reconciliation, profiling and analysis across OLTP and analytical data platforms. Design data models for operational and analytical use cases, including dimensional modelling, slowly changing dimensions, lakehouse and data-lake patterns. Work with platforms such as Snowflake and relational databases including DB2 and PostgreSQL, applying sound principles … experience writing testable and maintainable code. Strong SQL proficiency and practical understanding of OLTP databases, relational design and query performance. Strong understanding of data modelling, data warehousing, dimensional modelling and slowly changing dimensions. Experience designing and implementing ETL/ELT pipelines and working with data‐lake, lakehouse ...

built on robust, scalable information models that align with enterprise architecture, governance standards and domain ownership principles. You’ll also provide guidance on modelling best practices, data standards and business terminology, helping establish a consistent and trusted data foundation that supports both operational decision‐making and strategic insight. What … Data Engineers to validate models against ingestion pipelines and sample data Providing high‐quality model documentation to support downstream development and analytics Maintaining data modelling standards and best practices across squads Applying change management principles to ensure consistency and traceability of model changes Supporting governance and metadata management using ...

built on robust, scalable information models that align with enterprise architecture, governance standards and domain ownership principles. You’ll also provide guidance on modelling best practices, data standards and business terminology, helping establish a consistent and trusted data foundation that supports both operational decision-making and strategic insight.**What … Data Engineers to validate models against ingestion pipelines and sample data* Providing high‐quality model documentation to support downstream development and analytics* Maintaining data modelling standards and best practices across squads* Applying change management principles to ensure consistency and traceability of model changes* Supporting governance and metadata management using ...

processes. This creates an excellent opportunity for a Senior Data Architect to make a lasting impact. The Role You will lead the data modelling and architecture strategy across a modern Azure Data Lakehouse environment, ensuring scalable and governed data solutions that support both current reporting and future analytical … cases. Key responsibilities include: Designing and governing enterprise-wide data models across Medallion Architecture layers. Creating curated semantic and analytical data models using dimensional modelling and Kimball methodologies. Defining data modelling standards, governance frameworks, and data feed specifications. Collaborating with Data Engineers, Analytics Engineers, and business stakeholders ...

skills, including experience with T-SQL and DAX Experience designing and developing ETL and ELT data pipelines A solid understanding of data warehousing, data modelling, dimensional modelling and data architecture Strong analytical and problem-solving skills Experience gathering, analysing and refining requirements with business stakeholders The ability ...

scale. You will have strong experience in data architecture, ETL development, and modern data warehousing practices, including the application of Kimball methodology and dimensional modelling, alongside a proven track record of building reliable, high-performance data solutions in a business-focused environment. This is a newly created role … transformation logic in a data warehousing environment. Experience designing and maintaining ETL pipelines and data integration processes. Strong experience of Kimball data modelling techniques (e.g. star schema, dimensional modelling). Experience working within a Microsoft data stack (e.g. SQL Server, Azure Data Factory, Azure Synapse, Microsoft Fabric ...

senior level while remaining hands-on with architecture and modelling. The Role You will act as the technical authority for data architecture and modelling across a modern Azure environment. Key responsibilities include: Designing and governing enterprise-wide data models across a Medallion Architecture framework Creating curated data models using … dimensional modelling and Kimball methodologies Defining modelling standards, governance frameworks, and data feed specifications Supporting the design of semantic layers that enable reporting, analytics, and future AI use cases Collaborating closely with Data Engineers and Analytics Engineers in an agile delivery environment Producing architecture documentation, diagrams ...

documenting data lineage, transformations and business definitions to support transparency and trust in data. Promote best practices for data governance, accuracy and consistency. Data Modelling & Architecture Support Support the design, development and maintenance of logical and physical data models across business domains. Assist with dimensional modelling activities … layers. Help define and document data flows, business entities and relationships across enterprise systems. Contribute to the ongoing development of architecture standards, principles and modelling best practices. Support metadata management, data catalogue and data discoverability initiatives. Requirements & Business Engagement Engage with business stakeholders to understand requirements, pain points ...

transformation. You'll play a key role in shaping the future of the company's data platform, becoming the go-to expert for data modelling and architecture whilst helping drive the move towards advanced analytics and data-driven decision making. THE COMPANY Our client is a well-established professional … platform, the business is now focused on building innovative data solutions and creating greater value from its data assets. THE ROLE Own the data modelling and architecture strategy across a modern Azure Data Lakehouse environment Design and govern enterprise-wide data models across Medallion Architecture layers Create scalable curated ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...

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 ...