19 of 19 Permanent Star Schema Jobs in the UK excluding London

ETL, SQL programming/SSIS skills * Skills in data mapping and modelling. * 3-5 years' experience in SQL language * Knowledge of Kimball methodology/Star Schema modelling in Data Warehousing. * Experience of SSIS and SSMS. * Good understanding and experience of building ETL processes including extracting data via APIs. … ETL, SQL programming/SSIS skills * Skills in data mapping and modelling. * 3-5 years' experience in SQL language * Knowledge of Kimball methodology/Star Schema modelling in Data Warehousing. * Experience of SSIS and SSMS. * Good understanding and experience of building ETL processes including extracting data via APIs. More ❯

ETL, SQL programming/SSIS skills. Skills in data mapping and modelling. 3-5 years' experience in SQL language. Knowledge of Kimball methodology/Star Schema modelling in Data Warehousing. Experience of SSIS and SSMS. Good understanding and experience of building ETL processes including extracting data via APIs. … ETL, SQL programming/SSIS skills. Skills in data mapping and modelling. 3-5 years' experience in SQL language. Knowledge of Kimball methodology/Star Schema modelling in Data Warehousing. Experience of SSIS and SSMS. Good understanding and experience of building ETL processes including extracting data via APIs. More ❯

operational data needs into robust, scalable data solutions. Design and implement ETL/ELT processes to ensure efficient data ingestion, transformation, and loading. Apply STAR schema and Kimball dimensional modelling to optimise data structures for performance and usability. Extend and maintain the data warehouse, integrating financial and operational … candidate information pack) and the following role specific skills and experience: Essential: Proven experience in designing and developing Data Warehouses, with strong knowledge of STAR schema and Kimball dimensional modelling principles. Proficient in advanced T-SQL development for Data Warehousing, using recent versions of SQL Server or Azure More ❯

ll play a key role in delivering this vision as part of an agile team focused on: Developing scalable Azure Data Factory pipelines Implementing STAR schema-based data models in Azure SQL Enhancing security, manageability, and cost-efficiency of data operations Building reusable, templated data ingestion processes Applying … authentication Parallelism and performance tuning for ADF pipelines Templating for reusable, scalable ingestion patterns Azure SQL: Integration with Microsoft Entra ID (formerly Azure AD) STAR schema implementation for analytic models Standardising naming conventions and schema organisation Migrating data processing logic from Power BI to the SQL layer More ❯

Boomi, Informatica, Talend, SSIS, or custom scripting languages (Python, PySpark, SQL) for data extraction and transformation. Prior experience with Data warehousing and Data modelling (Star Schema or Snowflake Schema). Skilled in security frameworks such as GDPR, HIPAA, ISO 27001, NIST, SOX, and PII, with expertise in More ❯

You'll work closely with our clients to design the correct data models to support their analytic requirements following best practices such as Kimball star schemas and snowflake schemas, ensuring performance and ease of use for the client. You'll manage the delivery of ETL/ELT processes using … with ETL/ELT tools (e.g. Matillion, Informatica, Talend) and cloud data platforms (e.g., Snowflake, Databricks, BigQuery). Expertise in data modelling techniques (e.g., star schema, snowflake schema) and optimising models for analytics and reporting. Familiarity with version control, CI/CD pipelines, and containerisation tools (e.g. More ❯

the warehouse. Develop and maintain documentation on data models, processes, and business rules. SKILLS AND QUALIFICATIONS Data Warehousing: Strong knowledge of the Kimball methodology (star schema, fact & dimension tables). Experience in designing and implementing data models for analytical reporting. ETL/ELT & Data Integration: Hands-on experience More ❯

and business rules. **Please note that the responsibilities listed above are not exhaustive. SKILLS AND QUALIFICATIONS Data Warehousing: Strong knowledge of the Kimball methodology (star schema, fact & dimension tables). Experience in designing and implementing data models for analytical reporting. ETL/ELT & Data Integration: Hands-on experience More ❯

databases and data 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. More ❯

databases and data 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. More ❯

databases and data 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. More ❯

Proven expertise in developing reports and dashboards using Power BI (Power Query, DAX, Power BI Service). Experience in data modelling and transformation, including star schema and snowflake designs Hands-on experience connecting Power BI to multiple data sources (e.g., SQL Server, Excel, SharePoint, APIs) Demonstrated ability to More ❯

Familiar with Microsoft Office Suite (Excel, PowerPoint). Ambitious, inquisitive, team player with 'can-do' attitude. Excellent attention to detail. Desired Skills Experience with star schema and multi-dimensional data modelling Proficiency in SQL, Python, or other languages in data analysis Experience with DBT and/or Snowflake More ❯

design and build of data platforms using Databricks following best practices and a consistent approach and methodology You'll create robust data models (e.g. star schemas, data vault) to enable scalable analytics and reporting You'll deliver efficient ETL/ELT processes tailored to our clients' requirements. Team Leadership More ❯

and analyse large scale structured data and validate by profiling in a data environment. Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data. Liaise with More ❯

and analyse large scale structured data and validate by profiling in a data environment. Understand data structures and data model (dimensional & relational) concepts like Star schema or Fact & Dimension tables, to design and develop ETL patterns/mechanisms to ingest, analyse, validate, normalize and cleanse data. Understand and More ❯

performance tuning. Deep knowledge of ETL processes. Hands-on experience with database performance tuning, indexing, and partitioning. Excellent understanding of data modelling concepts, including star schemas. Strong problem-solving and analytical skills, with a detail-oriented mindset. Excellent communication and collaboration abilities, capable of interfacing with both technical and More ❯

streamlining manual processes into automated flows. Familiarity with pharmaceutical compliance risks or compliance considerations for stakeholder engagements is a plus. Fluency in SQL, PowerQuery, star-schemas, DAX, or similar coding languages and approaches is preferred but not required. Are you ready to 'go beyond' to create value and make More ❯

delivering fully reconciled Facts and Dimensions and accurate end user reports. Hands on and technical understanding of complex Data Warehousing, including Data Warehouse design; Star schema and dimensional modelling Proficient with using OAS (or similar reporting tools) and validating subject areas and reports. Experience of working with and More ❯