26 to 45 of 45 Remote/Hybrid Dimensional Modelling Jobs

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 ...

Bring ✅ Extensive hands-on experience with Databricks , and Microsoft Azure data tools (must-have: Azure Data Factory, Azure Synapse, or Azure SQL). ✅ Dimensional modelling/DWH Design ✅ Medallion Architecture ✅ Strong ETL/ELT development skills. ✅ Python scripting experience for data automation. ✅ Experience with CI/CD methodologies ...

team if you have the following skills, knowledge and experienceStrong SQL skills and experience building analytical data models in a production environmentData modelling approaches such as dimensional modelling, star schemas, metric layers or similarWorking with dbt or similar transformation and orchestration toolsBuilding semantic models or reusable business … agents consume structured data, metric definitions and business contextExperience working with data contracts, medallion-style architecture or silver-to-gold data modelling patternsWhat success looks likeSuccess in this role is about helping the business trust and use data with confidence.You’ll create reliable analytical models, clear metric definitions ...

+ 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 ...

+ 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 ...

What They're Looking For: Consultancy or professional services background, juggling several clients at once Data governance (definitions, lineage, quality, ownership, access control) Data modelling, with a track record of building a single source of truth across messy, multi-source data Azure, Databricks and Microsoft Fabric (working in them … senior level What You'll Work With: Azure Data Factory and Azure Synapse Analytics Microsoft Purview (or a comparable cataloguing and lineage tool) Dimensional modelling, Data Vault, warehouse and lakehouse architecture ETL and data pipeline design and build CoPilot, Claude and OpenAI in day-to-day delivery Nice ...

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 ...

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. ...

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 ...

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 ...

inception to delivery Core Data Engineering Principles: Solid foundational knowledge of relational databases, data warehousing concepts, ETL/ELT processes, and data modeling (e.g., dimensional modeling). Strong SQL Skills: Proficiency in writing, optimizing, and debugging complex SQL queries. Tech Curiosity: An innovative, exploratory mindset with an interest ...

ROLE Build and maintain data ingestion pipelines using Azure Data Factory (ADF) Develop and support data warehousing solutions within Snowflake Design and optimise dimensional data models for reporting and analytics Support the migration and development of solutions within Microsoft Fabric Work closely with analysts and stakeholders to deliver high … Data Engineering role Experience building and maintaining ETL/ELT pipelines Strong experience with Azure Data Factory (ADF) Understanding of data warehousing concepts and dimensional modelling Strong SQL skills and experience working in cloud-based data environments Experience with Snowflake, Microsoft Fabric or Databricks would be advantageous SALARY ...

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 ...

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 ...

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 ...

analytics engineering first , with a strong emphasis on implementing and maintaining complex models in our Silver and Gold data layers , rather than defining modelling strategy from scratch. Youll join a multi-disciplinary, agile data delivery team working alongside other analytics and data engineers, data scientists, test engineers, and data … using SQL and dbt , with a strong understanding of how upstream transformations feed downstream analytical use cases Working with existing enterprise data models and dimensional structures, confidently navigating and extending them to support new analytics requirements Owning and contributing to the enterprise data warehouse, including dimensional models ...

Anaplan platform across Europe.Minimum QualificationsAnaplan Solution Architect certification5+ years’ experience delivering full Anaplan lifecycles (design, build, deployment, support)Strong understanding of: multi‐dimensional modelling, data integrations and model optimisation, anaplan architecture and platform governanceDeep experience with financial planning, budgeting and management reporting processesBackground in banking, financial services … similarly regulated environmentsProven experience with ALM, release planning, regression testing and controlled deploymentsAbility to communicate complex modelling concepts in simple, relatable termsStrong problem‐solving skills, with a passion for innovation and continuous improvementConfident working under pressure, delivering to tight deadlines with minimal supervisionEffective stakeholder management and communication skills, including ...

Qlik. Strong SQL skills. Experience with Python would be advantageous. Excellent Excel skills and good working knowledge of PowerPoint. A strong understanding of data modelling, including data grain, relationships, dimensional models and reusable metrics. The ability to take complex data and turn it into simple, compelling and actionable ...

foundation of our global reporting capabilities. Your primary focus over the coming year will be the design and implementation of a high-performance, scalable dimensional model built to serve multiple global clients.This role is not just about moving data; it is about the sophisticated translation of complex schema designs … abstract data architecture and the high-performance scripts that power our business intelligence.Key ResponsibilitiesDimensional Model Architecture: Lead the transition to a robust, multi-tenant dimensional model. You will be responsible for ensuring the architecture is scalable enough to onboard several major global clients without compromising performance.Expert SQL Development: Translate ...