1 to 25 of 33 Star Schema Jobs in London

data ownership and stewardship roles across data sets. Conduct regular data audits and drive continuous improvement initiatives. Establish data model management in line with star schema principles. Organizing data into fact and dimension tables. Work with key business stakeholders to define new data sets for incorporation into the … they align to the required data model, data governance and data quality requirements Ensure that data from various sources is accurately integrated into the star schema. This includes designing ETL (Extract, Transform, Load) processes to move data into the fact and dimension tables. Ensuring that the data model is … optimized for performance, working with the Development team to ensure any performance issues are resolved. Document the schema design, data sources, ETL processes, and any changes made to the schema. Provide training to team members on how to use and maintain the star schema. Work closely with stakeholders 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 ❯

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 ❯

Azure SQL Database, Azure Data Factory, Azure Data Lake, and related Azure data services. Expertise in designing and optimizing relational and dimensional data models (star schema, snowflake schema). Experience with ETL tools and data integration techniques. Proficient in SQL and other data querying languages. Understanding of More ❯

and target state requirements Support in designing enterprise-level data products Apply conceptual, logical, and physical data model understanding Utilize data modelling techniques (e.g., star schema, snowflake schema, normalization/denormalization) Required Skills & Experience: Advanced SQL, SSIS packages, Python and Shell Scripting expertise Experience using ER Studio More ❯

Snowflake architecture, features, and best practices. · Experience with CI/CD pipelines using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/ More ❯

Snowflake architecture, features, and best practices. · Experience with CI/CD pipelines using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/ More ❯

Snowflake architecture, features, and best practices. · Experience with CI/CD pipelines using Git and Git Actions. · Knowledge of various data modeling techniques, including Star Schema, Dimensional models, and Data Vault. · Hands-on experience with: · Developing data pipelines (Snowflake), writing complex SQL queries. · Building ETL/ELT/ More ❯

Factory, Synapse, Azure SQL, Data Lake) Strong proficiency in Power BI , including DAX, data modelling, and deployment Experience designing and implementing data warehouses and star schema models Background in building scalable data pipelines and APIs Excellent communication skills and ability to work with both technical and non-technical More ❯

with accurate end-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 More ❯

rollout. Experience with business intelligence tools, data modeling, data staging, and extraction processes, including data warehouses and cloud infrastructure. Knowledge of multi-dimensional design, star schemas, facts, and dimensions. Proficiency in ETL development techniques. Experience in optimizing data warehouse performance. Experience across various industry sectors is advantageous. Understanding of 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 ❯

abilities and skills: Well established Data & Analytics work experience. Sound understanding/experience of Python, Databricks, PySpark, Spark SQL and best practices. Expertise in Star Schema data modelling. Expertise in the design, creation and management of large datasets/data models. Experience working on building/optimizing logical More ❯

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 and best practices Proactive approach to More ❯

that values diversity of thought and creative solutions. What Do We Need From You? Experience developing Azure Data solutions Knowledge of data modelling principles (star schema, snowflake, data vault) Experience implementing end-to-end ETL/ELT solutions Maintaining and optimising an Enterprise Data Warehouse Data analysis skills More ❯

created by the team while maintaining accuracy and consistency, ensuring insights are reliable and actionable. Who we're looking for Knowledge Designing Kimball/star schema data models. Agile Methodology. Solar and BESS knowledge (Desirable) Qualifications Bachelor's degree in computer science, mathematics, statistics or engineering discipline. Microsoft More ❯

root cause issues, and escalate when necessary. Develop and maintain reusable code following best practices for future use. Proficient in T-SQL, including database schema design, views, stored procedures, and user-defined functions. Familiarity with Data Warehousing design techniques (Kimball/Star Schema). Experience with Visual More ❯

Power BI reports in line with stakeholder requirements Querying and transforming data from SQL Server and Snowflake Transforming data using PowerQuery Modelling data into STAR schemas What makes a great Grayce Analyst? Analytical Problem Solving: We're looking for analytical minds that can spot patterns and think creatively. Whether More ❯

relationships across the business to support existing systems and contribute to future upgrades and system improvements. Key Responsibilities: Design, develop, and test data warehouse (Star schema dimensional model), reporting, and dashboard solutions (SSRS/Power BI). Create, maintain, and enhance data integrations (IntApp Integrate/SSIS). More ❯

relationships across the business to support existing systems and contribute to future upgrades and system improvements. Key Responsibilities: Design, develop, and test data warehouse (Star schema dimensional model), reporting, and dashboard solutions (SSRS/Power BI). Create, maintain, and enhance data integrations (IntApp Integrate/SSIS). More ❯

relationships across the business to support existing systems and contribute to future upgrades and system improvements. Key Responsibilities: Design, develop, and test data warehouse (Star schema dimensional model), reporting, and dashboard solutions (SSRS/Power BI). Create, maintain, and enhance data integrations (IntApp Integrate/SSIS). More ❯

designing, testing, and troubleshooting the company's data storage system before it goes live. Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts Define scope, execution plans, and coordinate test activities Ensure all sign-offs on deliverables (overall test strategy, test plan, test More ❯

designing, testing, and troubleshooting the company's data storage system before it goes live. Knowledge of dimensional modeling and data warehouse concepts, such as star schemas, snowflakes, dimensions, facts Define scope, execution plans, and coordinate test activities Ensure all sign-offs on deliverables (overall test strategy, test plan, test More ❯

to analyse data; Experience with Microsoft databases and analytical tools, including Fabric or Synapse Analytics; Experience in data modelling (creation of E-R Diagrams, star schemas) and use of a modelling tool e.g. Erwin; Knowledge of data cataloguing tools e.g. Purview; What sets us apart? Global Impact: With offices More ❯