1 to 25 of 87 Dimensional Modelling Jobs in England

/Scientist role. Expertise in SQL and at least one analytical programming language (Python preferred, R or Julia acceptable). Strong background in data modelling (dimensional modelling), warehousing, and transformation techniques. Experience with BI tools (Power BI, Tableau, Qlik Sense). A leadership mindset with the ability More ❯

record of performing complex data analyses with large data volumes An expert in reporting and dashboarding Working knowledge of Data Warehousing Design Methodologies, including dimensional modelling concepts. More experienced candidates will hold experience in dimensional modelling and demonstrate proficiency in at least one scripting language Extensive More ❯

small team of skilled Data Analysts At least 5 years’ experience in a Senior Data Analyst/Data Scientist role Demonstrable experience using data modelling (dimensional modelling), warehousing, processing (Map Reduce) and transformation techniques Expert in SQL and at least one analytical programming language (Python is preferred More ❯

the organizations systems and processes. The team has a variety of skills and experience in technical domains such as Software development, Automation, Data-pipeline-modelling, IT project management, Data visualisation. We also pride ourselves on our close integration with non-technical/non-data teams as our success comes … GCP • Experience with Terraform • Strong Python skills • Experience with version control for data models (e.g., dbt testing frameworks, data documentation) • Demonstrated experience with data modelling concepts (dimensional modelling, star schemas) • Experience writing efficient and optimised SQL for large-scale data transformations • Understanding of data warehouse design principles … working with large-scale spatial datasets (billions of rows) and performing geospatial at scale using BigQuery GIS or similar tools • Experience with advanced analytical modelling techniques, including statistical analysis and predictive modelling, particularly applying these to large-scale datasets to derive actionable insights • Knowledge of data governance and More ❯

Bachelor's degree with majors in Computer Science, Information Systems, Statistics, Mathematics & Engineering Minimum 4 years of experience as a BI developer responsible for: Dimensional modelling (Kimball Methodology) Data Modelling (Kimball Methodology) ELT/ETL Dataverse (Data Flows) Data Factory Pipeline Development Dashboarding and Reporting (PBI) Data More ❯

models, ensuring seamless integration and optimal data utilization. Job Role Accountabilities Requirements Gathering: Collaborate with business stakeholders to gather and understand requirements for data modelling, data product design, and development, ensuring alignment with business goals and objectives. Data Modelling: Partner with business stakeholders and analysts to design and … quality technical documentation for all data models, ensuring it is consistently stored and accessible for future reference. Continuous Improvement: Drive innovation by continually improving modelling methods and recommending process enhancements that help the team meet and exceed expectations. Quality Assurance: Conduct peer reviews of models and documentation to ensure … lifecycle. Experience working within an Agile environment, delivering outcomes within defined Sprints, and familiarity with Agile principles and ceremonies. Skills and Knowledge: Expertise in dimensional modelling (Kimball) and familiarity with Data Vault 2.0. Strong SQL skills and aptitude for data development. Knowledge of Agile methodologies (SCRUM, Kanban, SAFe More ❯

Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience in dimensional modelling and formal database design. A good understanding of data governance, quality, and security principles. Ability to work both independently and collaboratively, with More ❯

Analytics. Proficiency in Microsoft Azure’s data and integration services, and experience working with APIs to enable cloud-based data flows. Strong experience in dimensional modelling and formal database design. A good understanding of data governance, quality, and security principles. Ability to work both independently and collaboratively, with More ❯

S3, Snowflake, Athena, Glue), In depth understanding of database structure principles, Strong knowledge of database structure systems and data mining, Excellent understanding of Data Modelling (ERwin, PowerDesigner, Dimensional Modelling) An understanding of SQL/database management. Strong hands-on experience in Data Warehouse and Data Lake technologies More ❯

Microsoft BI tools with Tableau, Amazon QuickSight , or similar platforms Understanding of REST APIs , Power BI Embedded , and programmatic data access patterns Data Engineering & Modelling Strong T-SQL skills for data retrieval and performance tuning Knowledge of dimensional modelling , star/snowflake schemas , and data warehouse best More ❯

business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure More ❯

business facing experience. Preferably in the insurance sector. Key responsibilities: Design Data Lake and Data Warehouse solutions. Design Data Models using Data Vault and Dimensional modelling methods Implement automated, reusable and efficient batch data pipelines and streaming data pipelines Work closely with Governance and Quality teams to ensure More ❯

Scala, Java, R). Experience deploying and maintaining cloud infrastructure (e.g. AWS, GCP, or Azure). Familiarity with data modeling and warehousing concepts, and dimensional modeling techniques. dbt knowledge is preferable. Comfortable working with CI/CD tools, version control, and containers (e.g Git, Jenkins, Docker). Understanding of More ❯

with over 8 years of experience within this domain, ideally in Oil and Gas. Responsibilities: Requirements capture & assessment Conceptual/logical/physical data modelling/dimensional modelling Data integration & flow design SOA architecture & principles Query & database performance tuning - ETL Cloud computing Globally-distributed database replication/ More ❯

and emerging technologies, including data integration, data warehousing and advanced analytics platforms, with the ability to assess and recommend appropriate solutions. Strong knowledge of dimensional modelling techniques, including Kimball¿s Business Dimensional Lifecycle, with the ability to provide oversight and guidance in applying these concepts effectively. Demonstrated More ❯

and emerging technologies, including data integration, data warehousing and advanced analytics platforms, with the ability to assess and recommend appropriate solutions. Strong knowledge of dimensional modelling techniques, including Kimball¿s Business Dimensional Lifecycle, with the ability to provide oversight and guidance in applying these concepts effectively. Demonstrated More ❯

defining/redefining metric tickets, implementation logic, data mapping, related tasks creation and estimations. A strong actioner of data standards for ETL purposes , data modelling, best practices and strive for its implementation . Required Skills/Experience Should be strong in Azure data services like ADF, Synapse, SQL, ADB … Should be strong in ADF pipeline development, data orchestration techniques, monitoring and troubleshooting Should be strong in stored procedure development. Good knowledge in data modelling (dimensional) and Power BI reporting. Job Responsibilities/Objectives Analyse raw data (mostly in Json format ) for data parsing, schema evolution, data transformation … development and deployment. Closely work with analysts , data scientists to understand the business requirements, data sources and logic for metric development. Create normalised/dimensional data models based on the requirement. Translated and refine the notebooks and logics developed as part of prototype Transform data from landing/staging More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

user reports Proficiency with reporting tools such as Oracle OAS and Microsoft Power BI Deep understanding of Data Warehouse design, including Star schema and dimensional modelling Strong analytical skills and technical aptitude, with the ability to influence system architecture decisions Experience leading testing disciplines within agile projects Self More ❯

warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling Strong analytical skills and a technical aptitude Ability to challenge and provide input in system architecture and design decisions. Good interpersonal skills More ❯

warehouses. Hands on experience of delivering fully reconciled Facts and Dimensions and accurate end user reports. Knowledge of Data Warehouse design; Star schema and dimensional modelling. Strong analytical skills and a technical aptitude. Ability to challenge and provide input in system architecture and design decisions. Good interpersonal skills in More ❯

BI. Solid hands-on experience with Azure Databricks - Pyspark coding and Spark SQL coding - Must have. Very good knowledge of data warehousing skills including dimensional modeling, slowly changing dimension patterns, and time travel. Experience in delivering Agile projects with implementation knowledge on CI/CD pipelines, preferably on Azure More ❯

strategies, data quality analysis, issue resolution, unit testing, and release management. Conduct data profiling and analysis to assess data quality, consistency, and integrity, leveraging dimensional modeling techniques where appropriate. Create and maintain data mapping documents to support ETL processes and data integration efforts to ensure clarity and consistency. Responsible More ❯

systems using microservices architectural patterns. DevOps experience in implementing development, testing, release, and deployment processes using DevOps processes. Knowledge in data modeling (3NF/Dimensional modeling/Data Vault2). Work experience in agile delivery. Able to provide comprehensive documentation. Able to set and manage realistic expectations for timescales More ❯