1 to 25 of 108 Permanent Dimensional Modelling Jobs in England

Senior Data Engineer (Data Modelling)****UK Remote-First** (occasional travel to parks, head office and team events)**Permanent | Full Time****Competitive salary + bonus and benefits****About the role**Do you think in facts and dimensions? Are you the kind of engineer who gets a genuine kick … forecast and guest insight sits a data model that someone thought carefully about. That someone could be you. As a **Senior Data Engineer Data Modelling)**, you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling ...

Senior Data Engineer (Data Modelling) UK Remote-First (occasional travel to parks, head office and team events). Permanent | Full Time. Competitive salary + bonus and benefits. About the role Do you think in facts and dimensions? Are you the kind of engineer who gets a genuine kick … forecast and guest insight sits a data model that someone thought carefully about. That someone could be you. As a Senior Data Engineer (Data Modelling), you'll be a specialist at the heart of our data engineering community, focused squarely on the craft of dimensional modelling ...

help turn a growing analytics estate into a clear, governed and scalable foundation for better decisions, better products and trustworthy AI-powered experiences. Data modelling is at the heart of this role. You’ll shape the layered warehouse model, define the grains and conformed dimensions, and design the semantic … models that other people can confidently build on. What you’ll be doing Own the analytics data architecture end to end, including layers, modelling conventions, data contracts and the governed semantic layer. Build the foundational curated layer yourself, creating dimensional models with clear grain, conformed dimensions ...

cases. Business Intelligence and broader Analytics capabilities are managed by separate teams. Key Accountabilities Data Engineering and Analytics Engineering Oversee reliable ingestion, transformation, orchestration, modelling and lifecycle management across the data platform. Implement a medallion architecture that supports trusted, reusable and well-governed data assets. Establish effective engineering practices … version control, automated testing, deployment and operational support. Lead analytics engineering practices, including dimensional modelling, semantic modelling, shared metrics and curated business-facing data products, partnering with consuming teams to ensure platform outputs are usable, dependable and aligned to agreed requirements. Lead, coach and develop a cross ...

analytics platform. This is a hands‐on, high‐impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well‐governed data products. You will work within the PlayStation Partners Platform … decision‐making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision‐ready datasets. What You Will Be DoingAnalytics Engineering and Data ModellingDesign, build ...

This is an opportunity to influence not only what we build, but how we engineer--establishing better approaches to architecture, ingestion, orchestration, transformation, data modelling, testing, deployment, monitoring, automation and reuse.Working closely with Data Engineers, Data Scientists and analysts, you will see how engineering decisions affect analytical delivery … building and operating complex data platforms, pipelines and analytical data models at scale.You will understand the complete data lifecyclefrom ingestion and orchestration through transformation, modelling, validation, deployment, monitoring and optimisationand be able to determine the appropriate engineering approach for complex analytical requirements. You will combine engineering expertise with strategic ...

products are built on robust, scalable information models that align with enterprise architecture, governance standards and domain ownership principles. Youll 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. … 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 ...

Public Services. Job Title/Role: Lead Analytics Engineer Mandatory Required Skills Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. Modelling Concepts: Semantic Modelling, Dimensional Modelling (Kimball), Business/Logical/Physical Modelling. Skills: Software engineering mindset applied to SQL; git workflows, and automated … controls (ABAC), and query performance tuning. Technical Requirements Core Platforms: Expert Snowflake knowledge and advanced dbt (Core/Cloud) experience. Modeling Concepts: Semantic Modeling, Dimensional Modeling (Kimball), Business/Logical/Physical Modelling. Skills: Software engineering mindset applied to SQL; git workflows, and automated testing. #J-18808-Ljbffr ...

cases. In this D&A architecture role, you will define shared information models, create conceptual and logical designs, establish naming and modelling standards, and create information blueprints that engineering teams can implement. Working across commerce, manufacturing and supply chain operations spanning clusters and markets, you will make data easier … products, customers, suppliers and stores, establishing authoritative sources and harmonisation patterns across systems together with master data responsible teams. Establish information quality measures, modelling standards and metadata expectations embedded in architectural patterns: operational schemas in bronze, conformed and dimensional entities in silver, and consumption-ready models in gold. ...

data sync between our ERP and the wider estate. Our stack is Python, PySpark, Delta Lake and Databricks, with T‐SQL, Kimball dimensional modelling and Power BI on top, working closely with Microsoft Dynamics 365 Finance and Operations data structures. We are currently reviewing whether to move from … reconciliations and platform work, and pick up the hardest builds yourself. Owning the Data Warehouse and Data Sync Own our data warehouse, including the dimensional model, the pipelines that load it and the standards that keep it consistent as it grows. Own the data sync between ...

need to arrive doing all three confidently - you need to be strong in analysis and reporting today, and genuinely keen to develop into the modelling and engineering side with support from the team. You will be part of the bridge between our small data team and the rest … will report to the BI Lead and work closely with our Data Engineer, who you'll pair with regularly as you build up the modelling and engineering side of the role. The team is small and deliberately focused - we aim to do fewer things better, rather than spread thin ...

Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs …/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure‐as‐code tooling . A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring , with a focus on building solutions that are scalable and maintainable. Experience designing ...

Storage, Pub/Sub, Datastream and Cloud Composer/Airflow, alongside Terraform and infrastructure-as-code. Set and champion high engineering standards across data modelling, dbt (data build tool) transformations, testing, monitoring, documentation, deployment, version control and cost optimisation. Partner with teams across the firm to turn business needs …/Cloud Composer, dbt, Git/GitHub, CI/CD and Terraform or other infrastructure-as-code tooling . A solid understanding of data modelling, dimensional modelling, orchestration, testing, data quality and operational monitoring , with a focus on building solutions that are scalable and maintainable. Experience designing ...

behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting … will include: Setting and personally delivering target architecture for the ECP data estate the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. Hands-on T-SQL, stored procedure, ETL framework and PowerShell ...

behind every report and every operational data feed at ECP, continue the migration of our data warehouse and data lake to a modern dimensional model, finish the rollout of a principle-of-least-privilege security model across a multi-server SQL estate, and continue the migration of our reporting … will include: · Setting and personally delivering target architecture for the ECP data estate — the data warehouse, data hub, data lake, raw/ODS layers, dimensional model, audit and schema-change tracking, and the load schedules that tie them together. · Hands-on T-SQL, stored procedure, ETL framework and PowerShell ...

. Hands‐on experience building or scaling an experimentation programme, with solid statistics: power analysis, variance reduction, sequential testing, and common pitfalls. Strong data modelling: dimensional modelling, SCDs, event schema design, dbt, and SQL at a high level. A track record of driving change: introducing new practices … getting non-technical teams to adopt them. Clear communication with executives and with non-technical stakeholders. Nice to have Data science and predictive modelling, including forecasting. Experience building an AI‐first data stack and taking an AI‐first approach to analytical problems. Data governance frameworks, marketing analytics and attribution. ...

visualizations in Qlik Strong knowledge of data visualization best practices using Qlik Experience working with a relational database (SQL, Oracle, etc.) a plus Data modelling, dimensional modelling, and working with large datasets a plus Experience working with business teams to translate functional requirements into technical requirements Additional ...

grow is by doing, so we give you the ownership to run with things and see real-time results. Owns the data modelling strategy, sets standards for data modelling, transformations, and governance. Leads the design and implementation of new features, such as the creation of a new star …/or other languages relevant to data processing Extensive experience in dbt and ideally Airflow (or other orchestration tools) Extensive experience in Entity-Relationship modelling and Dimensional modelling Experience with Cloud Data Warehousing (eg Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure) Familiarity with Tableau ...

data architecture experience, including at least three years delivering Power BI at enterprise scale. Expert knowledge of Power BI, DAX, Power Query (M), semantic modelling and dimensional modelling, supported by strong SQL capability. Hands‐on experience with Power BI Service, Premium or Microsoft Fabric capacity, gateways, deployment ...

Proficiencyin programming languages such asPythonandSQL fordata processing and transformation. Experience designing and implementingETL/ELT pipelines, data integration patterns, and workflow orchestration. Understanding ofdata modelling concepts(dimensional modelling, data vault, normalized schemas) and when to apply them. Knowledge ofdata governance, data quality, and metadata managementprinciples. Experience withInfrastructure ...

CD. Strong programming experience in Python, with knowledge of other programming languages beneficial. Experience with both synchronous and asynchronous interface approaches. Knowledge of data modelling, including 3NF, dimensional modelling and Data Vault 2.0. Experience working within Agile delivery environments. Ability to produce comprehensive technical documentation. Ability … success. Power BI experience is desirable. The role requires experience across the following skill areas: Data Engineering Software Design Analytics Data Management Data Modelling and Design Data Visualisation Database Design Release and Deployment Nice to Have Experience integrating and implementing data cataloguing tools such as Azure Purview/Collibra. ...

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 ...

business, the role will ensure reporting is reliable, reconciled, performant and maintainable. Experience required: * Advanced hands-on Power BI experience across DAX, semantic modelling, dashboards, optimisation and deployment. * Strong SQL and data warehousing skills, including dimensional data models. * Experience with Microsoft Fabric and modern data-platform environments. * Strong … call me on 0161 877 9200, or send me a message on LinkedIn Keywords: Power BI Developer/Power BI/DAX/Semantic Modelling/Data Modelling/SQL/Microsoft Fabric/Data Warehouse/Dimensional Modelling/Dashboards/Reporting/Data Visualisation ...

resolving data quality issues before they reach executive reporting. Support platform adoption through documentation, standards, and knowledge transfer, contributing to best practices for data modelling, naming conventions, and dataset architecture. Participate in peer reviews of data models to ensure consistency and quality before release into business-critical decks … experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data modelling principles — star schema, dimensional modelling, DAX. Experience with Power BI and the Microsoft Power Platform, including building on top of central/curated data models. ...

larger Technology department to enable and drive the adoption of data-driven decision-making across the organisation. You will have extensive experience of data modelling at all phases from context, through conceptual models to logical and canonical models. You will be a skilled user of an advanced modelling … tool such as erwin Data Modeler, ER/Studio or Sparx Enterprise Architect. Your primary focus will be on delivering conceptual, logical, canonical and dimensional models that support trusted data products and star schemas for actionable operational, tactical and strategic insights. These models will increasingly be implemented within ...