101 to 125 of 133 Dimensional Modelling Jobs in the UK

Analytics Engineer at Onmo, you will be the day-to-day owner of the business-ready layer of our Databricks lakehouse: the dimensional models, governed metric definitions and self-serve tools that Finance, Credit Risk, Collections and Operations rely on. You will sit between data engineering and the business … turning credit policy and finance rules into trusted, explainable numbers. RESPONSIBILTIES Build and extend our gold-layer dimensional models, including point-in-time and month-end facts. Work with the Data team and business owners to define and maintain governed metric definitions for credit and finance KPIs (arrears ...

business stakeholders to design scalable analytics solutions and AI-ready data architectures. This will include working across data structures, semantic models, metric layers and dimensional modelling. You'll also help establish reusable standards and best practices across analytics, supporting teams to deliver solutions that are scalable, secure, governed … delivering enterprise-scale analytics solutions Excellent SQL skills Strong experience with Power BI Experience working with Microsoft Fabric and Azure Databricks Strong knowledge of dimensional modelling, semantic models and analytics data architecture Experience establishing analytics standards, best practices and reusable technical patterns Ability to combine strategic thinking with ...

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 ...

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 ...

integration technologies. MySQL database administration. Structured and semi‐structured data formats. Network infrastructure and system dependencies affecting database services. Data warehousing, ETL processes and dimensional modelling. Experience supporting and maintaining SSRS and SSIS solutions. Why join Castle Trust Bank? Competitive salary Performance bonus (based on individual and company performance ...

Defining and owning the enterprise data architecture strategy and roadmap Designing scalable data models, pipelines, and storage solutions Establishing architectural frameworks (e.g. data vault, dimensional modelling, medallion architecture) Leading the design of cloud data platforms (AWS) - including services like Redshift, S3, Glue, Athena Evaluating and introducing new technologies … both technical and business stakeholders What We're Looking For Proven experience as a Data Architect/Enterprise Data Architect Strong expertise in data modelling and SQL Hands-on experience with AWS data stack (or similar cloud platforms) Deep understanding of modern data architectures (lakehouse, warehousing, ETL/ ...

implement controls to ensure data reliability and completeness. Work with business and technical stakeholders to understand source systems and data requirements. Data Transformation & Modelling Build and maintain transformation layers using SQL and DBT. Design reusable and scalable data models following engineering best practices. Implement testing and validation to ensure … with Python for automation, scripting, API integration and data processing. Experience designing and maintaining data transformation pipelines. Good understanding of data warehousing concepts and dimensional modelling. Experience working with Git-based source control and collaborative development practices. Understanding of CI/CD principles and automated deployment processes. Knowledge ...

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 ...

transformation. Ensure data is accurate, reliable, secure and available for business use. Support potential data migration and legacy system transformation projects. Apply good data modelling and warehousing practices, including dimensional modelling. Work closely with Data Analysts, Data Scientists and business stakeholders. Translate business requirements into effective technical solutions. … data platforms. Experience with SSIS and/or SSRS . Experience working with data warehouses and/or data lakes . Understanding of data modelling and database design. Experience working with cloud-based data solutions across Azure, AWS or GCP . Strong analytical and problem-solving skills. Ability ...

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 ...

head office, is seeking a Senior Data Engineer focused on data modelling. You will translate guest, bookings, and revenue processes into clear, domain-aligned dimensional models and build the dbt layer to deliver trusted business truths. You will design robust data models using Kimball methodology, ensure data quality … documentation, and collaborate across squads to raise modelling standards in a hands-on role. #J-18808-Ljbffr ...

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 ...

along the way Working with business teams to agree what they need to measure and how, and building a shared language around it Designing dimensional models and subject-area data marts in Snowflake Making the key design decisions: grain, keys, and dimensions that can be reused across the business … conceptual, logical and physical models Partnering with the solution architect, and handing designs over to data and BI engineers who build in dbt Setting modelling standards and coaching the team What you'll bring Proven experience as a data architect or senior data modeller, owning analytical model design Strong ...

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 ...

data services, Data Pipeline automation (with AI integrations desirable) and ETL development (design, build, test and performance tune). Must have knowledge on data modelling techniques, including dimensional models and conformed datasets. As the role is to engage both business and technical stakeholders, the individual must have clear ...

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. ...

orchestration, and Terraform for infrastructure as code in a hybrid work arrangement with weekly travel to Newcastle office. You will contribute to data governance, dimensional modeling, and enterprise-grade data assets while ensuring reliability and security across the data #J-18808-Ljbffr ...

Solutions Leads technical design and implementation within agreed architecture and design standards. 2. Design Authority & Best Practice Contributes to the design authority for data modelling, visualisation, and BI patterns, contributing to standards and ensuring consistent, high-quality approaches across the team. 3. Stakeholder & Product Leadership Works closely with product … supporting strategic decision‐making. Advanced proficiency in analytics and visualisation tools (e.g. Power BI, advanced Excel; Tableau optional). Extensive practical experience designing dimensional data models, applying Kimball methodologies, and creating reusable semantic layers. Strong SQL expertise, including writing and reviewing complex queries for data extraction, validation, and transformation. ...

build, maintain, and enhance customized reporting statements. The role requires at least 2 years of hands-on QlikView experience (v11+), strong SQL and dimensional modeling skills, and the ability to integrate data from multiple sources into robust data models. You will collaborate with stakeholders to deliver powerful dashboards ...

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. ...