1 to 25 of 66 Remote/Hybrid Dimensional Modelling Jobs

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 ...

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 ...

built on robust, scalable information models that align with enterprise architecture, governance standards and domain ownership principles. You'll 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. What … 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 ...

about creating reliable, scalable foundations that help organisations make better decisions and deliver better services. You’ll tackle complex engineering challenges across integration, migration, modelling and platform design, working with Microsoft Fabric, Azure and modern data technologies. We value engineering craft, thoughtful problem-solving and building solutions that … following areas is important: Microsoft Fabric and Azure data services, includinglakehouse, warehouse,notebooksand pipeline capabilities. Building enterprise-scale data platforms,lakehousesand data warehouses. Data modelling and dimensional modelling techniques such as Kimball. ETL/ELT development and large-scale data integration. PySpark, Spark SQL and modern transformation ...

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 ...

Have personally built and owned production data pipelines, and can explain the design choices and trade-offs behind them. Bring strong SQL and data modelling, including dimensional modelling and production dbt with tests, version control and CI/CD. Treat data protection as part of engineering, applying ...

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 ...

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. ...

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 ...

pipelines. Experience with cloud platforms such as Azure, AWS or GCP. Knowledge of relational and non-relational databases. Understanding of data warehousing and dimensional modelling, including star and snowflake schemas. Experience with Microsoft Fabric, dbt Cloud, Azure Data Factory or similar tools would be beneficial. Strong analytical ...

partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence. Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality. Stay current with emerging data platform technologies, architectural patterns and cloud-native … architectures in large-scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep ...

partner to clients, shaping their data strategy, advising senior stakeholders and articulating architecture decisions with clarity and confidence. Create and enforce architectural guidelines, including modelling standards, reference architectures, blueprints and reusable components to ensure consistent delivery quality. Stay current with emerging data platform technologies, architectural patterns and cloud-native … architectures in large-scale, enterprise or transformation programmes. Proven expertise designingcloud-native data platforms, including MS Fabric, Databricks and AWS Strong background in data modelling methodologies (Kimball, 3NF, Data Vault, dimensional modelling). Experience with modern data transformation approaches — familiarity with analytics engineering principles is beneficial. Deep ...

data transformation, automation and optimisation. Hands-on experience with Delta Lake, Spark, Databricks Workflows and Structured Streaming. Knowledge of data warehousing, lakehouse architectures and dimensional modelling. Experience delivering scalable, high-quality data solutions to support analytics, reporting and machine learning. Familiarity with real-time data processing, APIs and streaming ...

This is a hands‐on technical role suited to someone with a strong command of dbt and Databricks who is passionate about data quality, modelling best practice, and enabling genuinely self‐serve, data‐driven decisions. You will contribute across the full data modelling lifecycle, from design and development … still evolving as we build them. As an Analytics Engineer, You Will: Provide subject matter expertise to help shape and guide the overall data modelling strategy across our data domains. Design and implement dbt models on Databricks to support a comprehensive and unified view of subscriptions and content data. ...

Working closely with the Business Intelligence Manager, you'll play a key role in delivering end-to-end BI solutions, covering data ingestion, transformation, modelling and visualisation. You'll work closely with stakeholders to understand business requirements, define KPIs and translate these into effective technical solutions. The role will … enabled analytics such as Copilot and natural-language insight. If you're an experienced BI Developer with strong Power BI, SQL and data modelling skills and want to have a genuine impact on how an organisation uses data, this could be an excellent opportunity. Key Responsibilities Design, build ...

Company Description VodafoneThree: Data "Modelling" Architect Location: Newbury Hybrid working Working Hours: Full time 37.5 hours per week, from Monday to Friday Hybrid We believe that through collaboration and connection with our colleagues we can achieve great things. Our hybrid working approach allows our people to work both … Analytics team is undertaking a major transformation to migrate from a fragmented legacy estate to a scalable, cloud native, Unified Data Platform. The Data "Modelling" Architect plays a critical role in the Data Architecture squad, working closely with the Lead Data Architect to design scalable, governed, and reusable data ...

.* Proven expertise in data integration and analytics platforms, including Azure Data Factory, Microsoft Fabric (Lakehouse/Warehouse), and strong understanding of data warehousing, dimensional modelling, and lakehouse concepts.* Experience with Microsoft Azure cloud platform, including Azure Data Lake Storage/ADLS Gen2, Microsoft Fabric (OneLake, Workspaces, Capacity ...

e.g., Azure SQL, Snowflake). Experience with ETL/ELT tooling (e.g., SSIS, dbt, Azure Data Factory) and data pipeline design. Understanding of data modelling principles (normalisation, dimensional modelling/star schema for data warehousing). Experience of diagnosing and resolving database performance issues. Familiarity with database ...

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,lakehousepatterns, and the governance and operational setup of tools likedbt, and applies data security and GDPR principles ...

across data migration, integration, governance and analytics initiatives. You will bring expertise in Microsoft Azure and Microsoft Fabric, alongside a strong understanding of data modelling, data governance and enterprise data management. You will work closely with partner stakeholders, delivery teams and PACT colleagues to turn complex needs into clear … Deep knowledge of modern cloud data platforms, with hands‐on experience of Microsoft Fabric, OneLake, Azure Data Factory and related Azure services. Strong data modelling capability across conceptual, logical and physical models, including dimensional modelling, data vault or comparable approaches. Experience designing data integration, data migration, lakehouse ...

across data migration, integration, governance and analytics initiatives. You will bring expertise in Microsoft Azure and Microsoft Fabric, alongside a strong understanding of data modelling, data governance and enterprise data management. You will work closely with partner stakeholders, delivery teams and PACT colleagues to turn complex needs into clear … Deep knowledge of modern cloud data platforms, with hands‐on experience of Microsoft Fabric, OneLake, Azure Data Factory and related Azure services. Strong data modelling capability across conceptual, logical and physical models, including dimensional modelling, data vault or comparable approaches. Experience designing data integration, data migration, lakehouse ...

join our Business Information team. This is a broad, hands-on role covering the full BI lifecycle, from data ingestion and transformation through data modelling and analysis to delivering meaningful insights through Power BI. Our current data environment has been developed largely in-house, with Python and Microsoft … Business Intelligence, Data Engineering, Analytics Engineering or closely related development role. Strong commercial experience developing solutions with Power BI, including: Semantic/data modelling, DAX, report and dashboard development, performance optimisation. Strong SQL skills, including experience developing and optimising complex queries and data transformations. Practical commercial experience using Python ...

Fabric (preferred) Advanced SQL development and performance tuning skills Experience with Python, PySpark, or Scala for data processing Knowledge of data warehousing concepts and dimensional modelling Experience with CI/CD pipelines using Azure DevOps or GitHub Understanding cloud architecture and distributed data processing Data Management Experience with ...

Data & Analysis standards Ensure compliance with company data governance, risk and security policies Support the BI Manager and BI Analysts with data engineering, architecture, modelling and best practices Help upskill the BI team and promote consistent data and BI practices across the organisation ESSENTIAL SKILLS AND EXPERIENCE Strong experience … data engineering, including ETL/ELT, data pipelines and modern cloud data platforms Strong understanding of data warehousing, dimensional modelling, Kimball principles and data architecture Advanced SQL/T-SQL skills, including query development, optimisation and troubleshooting Strong Python, PySpark or similar programming skills for data manipulation ...