51 to 64 of 64 Dimensional Modelling Jobs in London

prioritization process that makes the best possible use of finite capacity. The ideal candidate has spent years building the traditional foundations — governance, metadata, lineage, dimensional modeling, engaging with enterprise BI platforms— and is now looking to apply that rigor to a fundamentally different generation of analytic products … Engineering: curated marts, semantic layers, reusable data products, and certified datasets that serve reporting, ai enablement, data science, and downstream applications. Define and enforce dimensional modeling standards, transformation frameworks, and modular, tested, version-controlled analytics code. Own the enterprise metric layer so that key business measures carry a single ...

Architecture roles.* Strong Insurance domain knowledge covering: Policy Lifecycle Management, Claims Processing, Underwriting, Reinsurance, Actuarial and Risk Management, Customer & Broker Management* Expertise in data modelling techniques (ER Modeling, Dimensional Modeling, Data Vault).* Strong experience with cloud platforms: Microsoft Azure, AWS, Google Cloud Platform (preferred)* Experience with modern ...

analytics Client-facing or consulting experience Strong SQL and Python skills Experience with AWS, GCP or Azure Understanding of data quality, governance, observability and dimensional modelling ...

established cloud and CI/CD setup to implement and evolve reliable, well-tested data pipelines in Spark/Scala and to extend the dimensional data models. You will be part of the technical team collaborating closely with platform engineering, data science, and business stakeholders to further develop … transformation, using the existing GitHub Actions and Terraform setup for deployments Implement, run and monitor dbt tests to ensure data quality and consistent dimensional models Extend and maintain Delta Lake fact and dimension tables for analytics use cases, following a bronze/silver/gold-style data architecture Work ...

role. Strong SQL skills with experience building analytical data models. Experience working with cloud data platforms such as GCP/BigQuery. Strong understanding of dimensional modelling, star schemas and data warehousing concepts. Experience developing reporting datasets and enabling self-service analytics. Ability to engage with business stakeholders … translate requirements into data solutions. Desirable Experience with Looker, LookML or similar semantic modelling tools. Experience with dbt and modern data stack technologies. Background within customer, consumer, commercial or telecoms analytics environments. Python scripting and automation experience. If the role aligns with your interest please apply with your updated ...

implementing ETL/ELT solutions. Knowledge of Lakehouse and Data Warehouse architectures. Experience with Data Pipelines, Dataflows Gen2, and Notebooks. Understanding of data modelling techniques, including star schemas and dimensional modelling. Experience with Power BI semantic models and reporting. Knowledge of data governance, security, and performance optimisation. Experience ...

governance patterns. 7+ years strong hands-on experience with Azure-based data platforms, including Azure Data Factory, Databricks, data lake architectures, SQL, and dimensional data modeling, with the ability to build practical end-to-end solution designs. Proven ability to own solution architecture end to end: shape target designs … Relevant Microsoft certifications in Azure, Power BI, data, or AI architecture. Core Technology Stack Data platform : Azure Data Factory, Databricks, Azure data lake, SQL, dimensional modeling, ETL/ELT, orchestration. AI platform : Azure OpenAI, Azure AI Foundry, Azure AI Search, Copilot Studio, Semantic Kernel, Prompt Flow. Analytics : Power ...

systems, APIs, and data feeds, assessing data quality, structure, and suitability for analytics and AI use casesDesign and document analytics‐focused data models, including dimensional models and star schemasProduce source‐to‐target mappings, business rules, and transformation logic to support data engineering and analytics deliveryWork closely with data engineers ...

historical queries and usage of gateways. Containerised data workloads using Docker and Kubernetes, with reproducible, environment-agnostic deployment of data infrastructure. Analytical data modelling expertise, including dimensional models or data vaults, schema evolution, slowly changing dimensions, and downstream impact analysis. Strong experience managing and troubleshooting environments based ...

Todayjob requisition id: JR000343# **Job Description****The Role**The Lead Data Analytics Engineer is a senior technical leadership role responsible for advancing Enterprise Data Modelling, Analytics Automation and Engineering Empowerment across Global Analytics. Working directly with the Head of Analytics Engineering, the role translates the Analytics Engineering strategy into … squads to independently deliver trusted, scalable Data Products while maintaining enterprise consistency and engineering excellence.**Key Responsibilities*** Lead the enterprise approach to analytical data modelling, including domain models, dimensional models and semantic layers.* Establish reusable modelling patterns and common business entities that create consistency across Data Products. ...

streams and semi-structured sources. Implement change data capture and incremental load, including ordering, deletes, replay and slowly changing dimensions. Build medallion datasets and dimensional models, and deliver them to Snowflake, Microsoft SQL Server and Databricks. Apply data contracts, reconciliation and row-level quarantine before publication. Own the GitHub … client-facing teams into operable pipelines. Requirements 10+ years in data engineering on production systems. Snowflake or Databricks as a primary platform, including modelling, performance tuning and cost management. Python and SQL for pipeline development and testing. Change data capture and event processing, including ordering, replay and schema change. ...

Deep knowledge of the Azure data stack (Azure SQL Server, CosmosDB, Azure Data Factory, Purview, Synapse, Event Hub, Azure Databricks/Fabric) Extensive data modelling experience: both normalised relational models and de-normalised Star Schema/dimensional models Excellent relational database design skills with expertise in diagnosing ...

GmbH is seeking a BI Developer to turn data from multiple systems into trusted analytical datasets and build scalable data solutions. You’ll design dimensional models, develop T-SQL transformations, and create Power BI semantic models for enterprise reporting and self-serve analytics. You’ll work with BI Analysts ...

Material Bank is the world’s largest material marketplace for the architecture and design industry. Operating in 37 countries, our platform has become the standard for design professionals around the globe. Every day, Material Bank ...