1 to 25 of 36 Permanent Star Schema Jobs in the UK

communication style based on the audience. Data Modeling and Warehousing: • Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). • Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … R or Python for analytics, data manipulation, and algorithm development. • Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. • Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively More ❯

communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively More ❯

communication style based on the audience. Data Modeling and Warehousing: •Design and implement data models optimized for analytical workloads, using dimensional modeling techniques (e.g., star schema, snowflake schema). •Participate in the design, implementation, and maintenance of data warehouses ensuring data integrity, performance, and scalability. BASIC QUALIFICATIONS … R or Python for analytics, data manipulation, and algorithm development. •Data Warehousing Knowledge: In-depth knowledge of data warehousing principles, dimensional modeling techniques (e.g., star schema, snowflake schema), and data quality management. •Communication and Collaboration Abilities: Excellent verbal and written communication skills, with the ability to effectively More ❯

Key Responsibilities: Evolve a successful proof-of-concept into a scalable, secure Azure-based data platform. Develop reusable Azure Data Factory (ADF) pipelines. Implement STAR schema models in Azure SQL . Apply security, data masking, segregation, and pseudonymisation techniques. Enhance platform manageability, cost-efficiency, and performance. 🧠 Required Skills … ADF): Incremental dimension creation Managed identity/service principal integration Performance tuning & parallelism Reusable templated ingestion patterns Azure SQL: Integration with Microsoft Entra ID STAR schema implementation Schema/naming standardisation Migration of logic from Power BI to SQL Data masking & pseudonymisation 🎁 Benefits: Competitive pension scheme Annual More ❯

Key Responsibilities: Evolve a successful proof-of-concept into a scalable, secure Azure-based data platform. Develop reusable Azure Data Factory (ADF) pipelines. Implement STAR schema models in Azure SQL . Apply security, data masking, segregation, and pseudonymisation techniques. Enhance platform manageability, cost-efficiency, and performance. 🧠 Required Skills … ADF): Incremental dimension creation Managed identity/service principal integration Performance tuning & parallelism Reusable templated ingestion patterns Azure SQL: Integration with Microsoft Entra ID STAR schema implementation Schema/naming standardisation Migration of logic from Power BI to SQL Data masking & pseudonymisation 🎁 Benefits: Competitive pension scheme Annual More ❯

Key Responsibilities: Evolve a successful proof-of-concept into a scalable, secure Azure-based data platform. Develop reusable Azure Data Factory (ADF) pipelines. Implement STAR schema models in Azure SQL . Apply security, data masking, segregation, and pseudonymisation techniques. Enhance platform manageability, cost-efficiency, and performance. 🧠 Required Skills … ADF): Incremental dimension creation Managed identity/service principal integration Performance tuning & parallelism Reusable templated ingestion patterns Azure SQL: Integration with Microsoft Entra ID STAR schema implementation Schema/naming standardisation Migration of logic from Power BI to SQL Data masking & pseudonymisation 🎁 Benefits: Competitive pension scheme Annual 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 ❯

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 ❯

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 ❯

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 ❯

with the rest of the days from home. Key Skills Hands-on experience working with Teradata and other Datawarehouses. Deep expertise in Teradata architecture, star schema, snowflake schema, SQL optimization, and Data Modelling. Experience in implementation of Teradata utilities (BTEQ, Fast Load, Multiload, TPT etc.) for efficient 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 ❯

overnight support rota Minimum criteria Significant database experience in Snowflake or Oracle Experience of building a data warehouse using an ETL/ELT tool Star schema/dimensional modelling. Excellent SQL skills Good knowledge of standard data formats (XML, JSON, csv, etc) Proven experience of delivering BI solutions More ❯

pipeline to support the ingestion of new datasets through the platform Azure SQL Integrating Database Access with Microsoft Entra ID for enhanced security. Implementing STAR schemas on Data Models. Establishing naming conventions for database objects. Transitioning data processing from Power BI to Azure SQL. Segregating data serve level data More ❯

experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety More ❯

experience with business intelligence tools, data modelling, data staging, and data extraction processes, including data warehouse and cloud infrastructure. Experience with multi-dimensional design, star schemas, facts and dimensions. Experience and demonstrated competencies in ETL development techniques. Experience in data warehouse performance optimization. Experience on projects across a variety More ❯

concisely PREFERRED QUALIFICATIONS Experience in data warehousing, BI tools, techniques, and technology Data engineering skills; programming knowledge (JAVA/PYTHON/SCALA) Knowledge of Star Schemas, Dimensional Models, Data Marts, Big Data, and Advanced Analytics Strong analytical skills with attention to detail and big-picture understanding Excellent communication skills More ❯