1 to 25 of 81 Star Schema Jobs in the UK

design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

user stories Building and optimising 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 it's dissecting complex issues More ❯

design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake … design and delivery at scale (high level and detailed) and various architectural strategies Solid information architecture skills/experience: Data ingestions, and Data Warehouse and Date Lake modelling experience (Star Schema, Snowflake Schema, Data Vault etc.) Past hands-on development experience in at least one enterprise analytics database like Oracle/Terradata/SQL Server/Snowflake More ❯

Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and More ❯

Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and More ❯

Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and More ❯

Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and More ❯

and comfortable working across both technical and business domains. Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in More ❯

sector is alive with career potential. What Do We Need From You? Experience in the development of Azure Data solutions Knowledge of data modelling principles, including common patterns, e.g., star schema, snowflake, or data vault Experience in implementation end-to-end ETL/ELT solutions Experience in maintaining and optimising an Enterprise Data Warehouse Knowledge of data analysis More ❯

The role involves building strong 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). Analyse database data to identify More ❯

The role involves building strong 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). Analyse database data to identify More ❯

love to hear from you: Expert-level proficiency in SQL and DAX Strong experience in Power BI/Microsoft Fabric development Proven experience designing dimensional data models (e.g. Kimball Star Schema) Familiarity with modern data platforms and architectures (e.g. Lakehouse) Experience leading data projects from scoping through to delivery Ability to support and coach less experienced colleagues Nice More ❯

SQL, Azure SQL DW. Ability to manage multiple priorities in a fast-paced environment. Knowledge of emerging technologies and their application to business problems. Experience with Kimball Methodology and Star Schemas. Experience with Enterprise Data Warehouse solutions. Working with structured and unstructured data. Google Analytics data experience is a plus. Retail industry experience is preferred. Strong understanding of cloud More ❯

will: Digest data requirements, gather 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 data/business SME to More ❯

will: Digest data requirements, gather 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 data/business SME to More ❯

security, and best practices for 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 with ETL tools (e.g., Azure More ❯

for recurring tasks in line with documentation standards. Essential Skills & Experience Proficient in working with UK mortgage data, including portfolio onboarding, new lending, and securitisations. Experience with Kimball-based star schema data warehouses. Strong capabilities in reporting and data visualisation using: Microsoft SQL Server T-SQL Power BI SSRS Microsoft Excel Azure DevOps Performance tuning techniques Solid understanding More ❯

Proficiency in ETL/ELT processes and best practices - Experience with data visualization tools (Quicksight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2) - Experience with agile development methodologies - Strong communication skills and ability to work with cross-functional teams - Background in data governance and More ❯

If you're looking to contribute, grow, and work on diverse data challenges, join us! Your Contribution Design and develop efficient and scalable data models and data marts (e.g.star schema, snowflake schema) using best practices for data warehousing and business intelligence that are optimized for self-service analytics tools Collaborate with business stakeholders (e.g. finance, marketing, operations) to More ❯

design and rollout. Hands on 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 of industry sectors an advantage More ❯

and comfortable working across both technical and business domains. ✅ Key technical skills: Strong SQL and ELT/data pipeline development experience Expertise in Data Warehouse & Data Lake design (including Star Schema, Snowflake Schema, Data Vault) Hands-on experience with enterprise databases: Oracle, Snowflake, Teradata, or SQL Server Solid understanding of AWS (S3, Lambda, IAM, etc.) Proficiency in More ❯

other cloud-native compute engines Establish coding standards, reusable components, and naming conventions using Prophecy's visual designer and metdata-driven approach Implement scalable and efficient data models (e.g star schema, scd typ2) for data marts and analytics layer Integrate Prophecy pipelines with orchestration tools like Airflow, data catalog tools for lineage Implement version control, automated testing and More ❯

when needed Excellent requirements, Epics, User Stories and Acceptance Criteria specification Managing agile product backlogs in scrum Process and requirements modelling Data Modelling of financial data and CUBE/Star Schema Data Analysis Reconciliation Defect triage and classification of bug prioritisation and severity Financial modelling and statutory reporting platforms Knowledge and Experience 7+ years of direct experience of More ❯

when needed Excellent requirements, Epics, User Stories and Acceptance Criteria specification Managing agile product backlogs in scrum Process and requirements modelling Data Modelling of financial data and CUBE/Star Schema Data Analysis Reconciliation Defect triage and classification of bug prioritisation and severity Financial modelling and statutory reporting platforms Knowledge and Experience 7+ years of direct experience of More ❯

databases, REST APIs, Kafka streams and other sources. Apply data cleansing rules to ensure high data quality standards. Model data into a single source of truth using Kimball methodology (star schema, snowflake, etc.). Develop high-quality code following DevOps and software engineering best practices, including testing and CI/CD. Monitor and maintain business-critical pipelines, reacting More ❯