26 to 50 of 64 Dimensional Modelling Jobs in London

used for revenue reporting, ensuring consistent naming, definitions, documentation, and data quality standards. Own analytics delivery end to end, from understanding stakeholder requirements and modelling data through to dashboard development, testing, and documentation. Contribute to Kpler's internal AI revenue analytics tools by curating governed datasets, maintaining reference documentation … domain end to end. Strong experience with SQL and hands-on experience with BigQuery or an equivalent cloud data warehouse. Strong understanding of data modelling concepts, including data grain, dimensional modelling, deduplication, and slowly changing dimensions. Production experience with Looker and LookML, including building and maintaining data ...

quality. Develop and maintain Gold Layer data marts in BigQuery using dbt Core, with a strong grasp of top-down/bottom-up data modelling methodologies (Kimball, OBT, or equivalent). Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform, including attribution pipelines supporting campaign … with dbt Core (or dbt Cloud) and Airflow for orchestration and transformation at scale. Solid grounding in data warehouse and data lake architecture, including dimensional modelling and layered architectures (Gold/Silver/Bronze or equivalent). Production experience with GCP (BigQuery, Dataflow, GCS) and AWS (S3, Iceberg ...

insights, and operational decision‐making. Knowledge of Microsoft Fabric architecture, including OneLake, Lakehouses, Warehouses, Pipelines, and Notebooks. Understanding of business intelligence best practices, including dimensional modelling, data warehousing, and data governance. Experience supporting mission‐critical systems with a strong focus on uptime, stability, and service excellence. Working knowledge ...

data layers Lead schema design, model validation, scalable partitioning, and metadata-driven SQL frameworks Hands-on ownership of the most complex implementation work Data Modelling & Design Define and evolve data models powering SCV, segmentation, AI features, and analytics Work across dimensional, event-based, and ML-aligned data structures … line management experience — not just technical leadership Track record of building or improving engineering processes and team structures Expertise in SQL pipelines, Python orchestration, dimensional modelling, and star/snowflake schemas Experience with cloud data infrastructure, CI/CD automation, and metadata frameworks Comfortable working across product ...

+ 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. ...

metrics (ticket volumes, server utilisation, application performance). Partner with Finance, Sales, and Operations to gather requirements and build self‐service reports (ETL pipelines, dimensional modelling). Coordinate with data architects and data analysts to ensure data accuracy and governance in the enterprise data warehouse. Project & Change Management ...

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 ...

Working with business stakeholders and providing technical leadership through delivery What You'll Bring Extensive hands-on Snowflake experience, with strong dbt for transformation, modelling and deployment Python for data engineering, particularly loading and processing files Solid grounding in data warehousing, dimensional modelling, source control ...

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 … from legacy policy, claims, and finance systems to modern cloud data solutions Establish architectural patterns supporting data domains, data products, and reusable assets Data Modelling Skills & Experience Excellent understanding of conceptual, logical, and physical data modelling principles. Experience designing enterprise data models, reporting marts and business specific data ...

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 ...

assumptions, identify opportunities and influence strategic decisions. Key Responsibilities: Lead the design and governance of modern data warehouses, data lakes, lakehouse platforms, semantic layers, dimensional models, master data strategies and analytics ecosystems. Architect cloud-native data platforms—particularly Snowflake—covering performance, workload management, security, access controls, cost governance, multi … client-facing presentations. Deep expertise in modern data architectures, including data warehouses, data lakes, lakehouse platforms and analytics ecosystems. Extensive experience in enterprise and dimensional data modelling, semantic layers, master data strategies and data governance frameworks. Strong understanding of data product thinking and the creation of scalable, reusable ...

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 ...

Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on. You will sit between data engineering and the business … turning credit policy and finance rules into trusted, explainable numbers. RESPONSIBILTIES Build and extend our gold-layer dimensional models, including point-in-time and month-end facts. Work with the Data team and business owners to define and maintain governed metric definitions for credit and finance KPIs (arrears ...

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 ...

analytics engineering or data engineering with a strong focus on data modelingStrong proficiency in dbt and SQL- building modular, well-tested modelsSolid understanding of dimensional modeling and metric designExperience working with cloud data warehouses (BigQuery, Snowflake, or Redshift)Experience with metrics/semantic layers (e.g. dbt metrics, MetricFlow, Cube ...