26 to 50 of 73 Dimensional Modelling Jobs in London

important as communication and stakeholder engagement. Key ResponsibilitiesDesign, develop and maintain scalable data pipelines using Snowflake and DBT.Build high-quality data models, including dimensional and star schema models. Engineer solutions supporting complex investment and portfolio data. Work with market data platforms and external data feeds. Develop solutions for time … practice around data quality, governance and performance optimisation. Skills & ExperienceEssentialStrong commercial experience as a Data Engineer. Expert knowledge of Snowflake. Strong experience with DBT.Data modelling experience, including dimensional modelling and star schemas. Experience working with time-series data. Experience integrating and managing market data feeds or financial ...

impact the education sector.This role sits within the Data & Insights department.Key ResponsibilitiesAct as a subject matter expert for Looker, advocating best practices in semantic modelling, governance, and self-service analyticsDesign, develop, and maintain LookML models, including views, explores, and dashboardsBuild scalable and reusable semantic layers to ensure consistency … into robust Looker solutionsDevelop and maintain data pipelines and transformations (in collaboration with analytics engineering teams) to support Looker modelsOptimise Looker performance through efficient modelling, caching strategies, and query designEnable and promote self-service analytics by creating intuitive dashboards and curated exploresEnforce data governance standards, ensuring accuracy, consistency ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

Collaborate with engineers, analysts and stakeholders to deliver practical solutions. Essential Skills Strong SQL and Snowflake experience. Data engineering and ETL/ELT development. Dimensional modelling (Kimball methodology). dbt development and engineering best practices. Azure Data Factory, Azure Functions and CI/CD. Python development for automation ...

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 ...

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 ...

Mastery: Deep experience with data orchestration tooling such as dbt or dataform.Platform Specifics: Hands-on experience with Databricks.Modeling Expertise: Practical knowledge of Kimball’s dimensional modeling. Here at Kaluza we have five core values that guide our business: Play to win, Solve the real problem, Build trust every ...

What you'll be doing Design, develop and maintain high-quality Power BI dashboards and reports. Translate business requirements into scalable reporting and data modelling solutions. Develop robust semantic models using star schema principles. Build complex DAX measures, KPIs and Power Query transformations. Optimise report performance, datasets and refresh … Extensive commercial experience with Microsoft Power BI (Desktop & Service). Advanced DAX, Power Query (M) and SQL (T-SQL preferred). Strong understanding of dimensional modelling and star schema design. Experience developing high-performance enterprise reporting solutions. Strong understanding of ETL processes and data warehousing concepts. Experience integrating ...

large-scale Azure data transformation programme. You'll play a key role in shaping a modern Data Lakehouse environment, driving best practice in data modelling, governance, and analytics while working closely with senior stakeholders across the business. The Company This organisation is a well-established UK professional services business … focused on improving data visibility, strengthening governance, and enabling more advanced analytics across the business. The Role You will lead data architecture and modelling across a modern cloud platform, ensuring data is structured, governed, and accessible for reporting and analytics.Responsibilities include: Designing enterprise-wide data models within a Medallion ...

platform reliability and supportability.Collaborate with engineers, analysts and stakeholders to deliver practical solutions.Essential SkillsStrong SQL and Snowflake experience.Data engineering and ETL/ELT development.Dimensional modelling (Kimball methodology).dbt development and engineering best practices.Azure Data Factory, Azure Functions and CI/CD.Python development for automation and data processing.Azure DevOps ...

+ 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 ...

transformation processes. Key Responsibilities Analyse existing datasets and data structures to help prioritise, design and implement the enterprise data platform. Design and implement dimensional data models within Snowflake to support enterprise reporting and analytics. Build and maintain production-grade data transformation workflows using robust development, testing, version control … client data. Contribute to data engineering standards, naming conventions, development practices and CI/CD processes. Support data analysis, data architecture and enterprise data modelling activities across existing and new data platforms. Work closely with technical and business stakeholders to understand requirements and translate them into effective data solutions. ...

reports, dashboards and self-service experiences for a range of audiences, including senior executives. Design, develop and maintain robust semantic models using best-practice modelling principles, with a particular focus on models that support Data Agents and natural-language access to trusted data Translate business intelligence questions into clear … capacity units, consumption, performance and workload optimisation. Strong hands-on experience building, managing and developing Power BI reports and dashboards. Strong understanding of dimensional modelling, semantic models, relationships, measures, reusable metrics and best-practice Power BI architecture. Experience designing models for self-service analytics, governed reporting and/ ...

experience with DBT, building and maintaining modular, scalable data models that follow best practices Previous experience working on Data Quality engagements Strong understanding of dimensional modelling Strong understanding of Data Quality and how it is measured Desireable: Experience writing complex validation logic using tools like Great Expectations ...

Spark, SQL, and PythonExperience developing and optimizing batch and real-time data processing solutionsStrong understanding of modern data architecture patterns, including Kimball, Data Vault, dimensional modelling, and data product design principlesExperience implementing Infrastructure as Code using tools such as Terraform or CloudFormationExperience leading technical delivery teams and mentoring ...

distributor Previous experience as a data analyst - please do not apply otherwise Data Analyst Experience translating business problems into analytical solutions Experience of data modelling principles, including dimensional modelling, relational databases and business logic design. Advanced Excel skills Data Analyst PowerBI for data visualisation and dashboard creation ...

queriesHands on experience with DBT, building and maintaining modular, scalable data models that follow best practicesPrevious experience working on Data Quality engagementsStrong understanding of dimensional modellingStrong understanding of Data Quality and how it is measuredDesireable: Experience writing complex validation logic using tools like Great Expectations, dbt tests, Elementary, Soda ...

strategies for 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 … implementation, 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.The successful candidateProven experience designing enterprise-scale information architectures (multi-source, multi-domain at scale) that successfully went into production.Domain ...

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. ...

Code Developing reusable Gold Layer assets and analytics-ready datasets for enterprise consumption Building and maintaining data pipelines and transformation frameworks using dbt Designing dimensional data models and Star Schema structures Contributing to a rapidly evolving Data & AI capability What We're Looking For Essential Experience Excellent commercial experience … with Snowflake Experience delivering data solutions within Wealth Management, Asset Management, Investment Management or Financial Services environments Excellent understanding of Star Schema/dimensional modelling Strong experience with dbt Strong SQL and data engineering capability Strong data quality, lineage and governance experience Exposure to market data platforms ...

stakeholders across the end-to-end data lifecycle. YOU WILL: Have expertise in Power BI given Microsoft stack preference across our client base. Data modelling: you should be able to build and maintain semantic models, work upstream (engineering) as well as downstream (dashboard & reports). Experienced with Tableau, Looker … enablement. Working exposure to at least one of AWS, GCP or AWS. Strong SQL skills for data extraction, transformation and analysis. Experience working with dimensional modelling concepts (e.g. Star Schema, Kimball principles). Understanding of Data Warehousing, Lakehouse and Medallion architectures. TOTAL REWARDS: Total Rewards associated with this ...

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 ...