8 Dimensional Modelling Jobs in the UK excluding London

ensure quality issues are addressed as needed. Create and maintain technical documentation, including data pipeline specifications, data models, and transformation logic Contribute to data modelling and schema design standards and related documentation. Qualifications & Requirements Degree in Computer Science, Data Engineering, or a related field or equivalent experience Strong experience … Proficiency in Azure Data Factory and DBT, with a demonstrated ability to build scalable and reliable data pipelines and transformation processes. Familiarity with data modelling concepts and techniques, including dimensional modelling. Strong problem-solving and analytical skills, with the ability to analyse complex data-related issues and provide more »

databases to achieve data accuracy. Designing and implementing data models as a blueprint for organising and integrating data from multiple sources. Ensuring the data modelling standards and best practices are consistent across the business. Establishing data governance policies and procedures to maintain data quality. Working on data transformation projects … business. Assessing the data landscape to identify potential opportunities for optimisation. Experience & Skills Required 5+ years of experience as a Data Modeller Experience with Dimensional Modelling. Strong experience using Snowflake Experience with Informatica, DBT or Power BI Background working in Insurance would be desirable Background in engineering would be more »

AML, Screening and Cyber) Strong experience with SQL Experience with Python Experience with Looker or a similar visualisation tool Experience with data architecture and dimensional modelling Strong communication skills Experience supporting and working with cross-functional teams in a dynamic environment Interview process Interviewing is a two way more »

would be advantageous. Knowledge of CI/CD processes, particularly Azure Dev Ops (ADO) as our core delivery and deployment processes. Understanding of data modelling techniques; particularly those suited to analytical data, such as Dimensional Modelling, would also be a real advantage. Strong communication & planning skills, with more »

technical stakeholders as well as facilitate discussions within a multidisciplinary team About you Strong experience in modern data platform architecture (Data Warehouses, Data Lakes, Dimensional Modelling, Streaming vs Batching, etc) Knowledge and understanding of key data strategy pillars across people, processes and technology Knowledge and understanding of Data more »

meet strict reporting deadlines. Excellent organisational and time management skills. Technical skills include data manipulation, validation, cleaning, row-level security, relational database management, and dimensional modelling. Soft skills encompass stakeholder management, problem-solving, communication, logical reasoning, inquisitive nature, dataflows, data pipelines, data validation, and attention to detail. Desirable Skills more »

continuous improvement. Coaching team members and contributing to drafting/updating service policies and procedures. Designing robust, secure, and supportable corporate data solutions following dimensional modeling methodology. Developing, testing, and assuring extracts of data, semantic models, reports, visualizations, and dashboards. Building automated test frameworks and improving test coverage across … Experience in data engineering with tools like Databricks, Azure Data Factory, Spark, Python, SQL, Cosmos DB, Microsoft Azure Analysis Services, and PowerBI. Proficiency in dimensional data modeling and delivering end-to-end BI solutions. Familiarity with Agile/Scrum environments, product lifecycle management, and Azure DevOps or similar tools. more »

of Data Warehouse, BI, Data Analytics or complex Data Migration solutions, including analysing source systems, designing ETL routines, resolving DQ issues, designing relational and dimensional models (conceptual and logical), developing reporting and analytical layers. An analytical approach, with demonstrable ability to understand complex processes, to identify and extract key more »