10 Permanent Dimensional Modelling Jobs with Hybrid or WFH Options

critical thinker who has experience in building and developing new analytical data structures, to extract the most insight from our data. Strong experience in Dimensional Data modelling, data warehousing, data processing (Map Reduce) Team Lead/Mentoring experience Expert in SQL and at least one statistical analysis programming … version control) Continuously look to improve and expand data capabilities. Experience Experience in a Senior Data Analyst/Scientist role Demonstrable experience using Datamodelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL Analytical programming language (Python (preferred), R or Julia) Advocate of IAC principles 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 »

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 »

automating enterprise scale dashboards that incorporate the principles of effective data visualisation. Solid understanding of SQL and its application. Knowledge of relational database design, dimensional modelling and data integration techniques. Self-motivated, enthusiastic, ability to work under pressure and to tight deadlines, through prioritising work and managing deadlines. more »

automating enterprise scale dashboards that incorporate the principles of effective data visualisation. Solid understanding of SQL and its application. Knowledge of relational database design, dimensional modelling and data integration techniques. Self-motivated, enthusiastic, ability to work under pressure and to tight deadlines, through prioritising work and managing deadlines. more »

automating enterprise scale dashboards that incorporate the principles of effective data visualisation. Solid understanding of SQL and its application. Knowledge of relational database design, dimensional modelling and data integration techniques. Self-motivated, enthusiastic, ability to work under pressure and to tight deadlines, through prioritising work and managing deadlines. more »

Forecasting, Planning and Analysis applications from a data management perspective. Good understanding of system project life cycle and delivery. Experience and aptitude in data modelling and user interface design for business-oriented reporting and business process improvement. Experience with working on at least one multi-dimensional modelling more »

Python development. Version control. Integration and deployment pipelines (CI/CD, DataOps). SQL Server, Oracle database. SSIS, SSRS, Power BI. Advanced SQL and modelling methodologies such as dimensional modelling. As this is a permanent hybrid position, preference will be given to applicants currently residing within the Southampton more »

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 »