1 to 25 of 49 Permanent Star Schema Jobs in England

insights into enterprise grade, productionised reporting. What You'll DoOwn the Gold Layer: Build and optimize high-performance Power BI semantic models and star-schema architectures within a Unified, AI-powered analytics platformProductionize Reports: Review, refine, and promote reports from domain workspaces (Finance, Financial Crime, Marketing) into central … level security (RLS).What You BringSignificant hands on experience productionising Power BI reports and managing live estates. Deep expertise in DAX, dimensional modelling (star schema), and layered data architectures. Demonstrable excellence with SQLExposure to Microsoft Fabric, Azure Synapse, or Azure Data FactoryHigh technical rigor and diplomatic communicationYou catch ...

join a UKRI data initiative, enhancing, expanding and improving an existing enterprise data warehouse. The role requires strong hands-on experience with Kimball and star schema modelling, together with the SQL/data skills to take new source data and integrate it into an existing warehouse model. This ...

join a UKRI data initiative, enhancing, expanding and improving an existing enterprise data warehouse. You'll need strong hands-on experience with Kimball and star schema modelling , together with the SQL/data skills to take new source data and integrate it into an existing warehouse model. … requirements Strong experience with Kimball and star schema data modelling Experience enhancing and expanding existing enterprise data warehouses Proven ability to take source data and integrate it into an existing warehouse model Strong SQL and data skills Good understanding of enterprise data warehouse environments Strong stakeholder engagement ...

e.g., PostgreSQL, MySQL) and experience with modern data warehousing solutions (e.g., Snowflake, BigQuery, Redshift, Synapse). Data Modeling: Knowledge of data modeling principles (e.g., star schema, snowflake schema, normalization). Programming: Proficiency in Python and/or Scala for data processing and pipeline development. Agentic workflows: Experience ...

Strong proficiency in SQL and Python Strong experience with AWS (Batch, Lambda, Glue, ECR, RDS, Redshift, S3) Experience in data warehousing, database design (e.g., star schema, snowflake schema), and data modelling. Excellent problem‐solving skills and the ability to work independently and as part of a team ...

PySpark, Spark SQL, T-SQL and KQL, optimizing Delta tablesAdd data quality checks, validation rules, logging and alerting to data pipelinesBuild enterprise semantic models (star schema) using Direct Lake, Import or DirectQuery as specified in the architectureWrite efficient DAX measures, calculation groups and Power Query (M) transformationsBuild reports ...

Server, Azure SQL Database and T-SQL. Experience with ETL/ELT and data integration tools, ideally Informatica. Strong understanding of dimensional modelling, including Star Schema. Experience optimising BI models, queries and reporting performance. Understanding of Power BI Service administration and governance. Experience working in an agile environment, ideally ...

skills for transformations, data modelling, and debugging data issues Experience building and supporting ingestion pipelines end to end Understanding of data modelling for analytics (star schema, facts/dimensions) and how schema changes affect downstream users Exposure to layered data architectures (e.g. bronze/silver/gold ...

practices, such as SOLID principals, structuring code, testing, IOC, etc. Strong repositories, CI/CD skills. Strong knowledge of Kimball data modelling, such as star schema, snowflake, etc. Strong SQL skills. Strong data analysis skills. Excellent written and verbal communication skills A demonstrable track record of getting stuff ...

query optimisation and working with the Azure data stack (Data Factory, Synapse/Fabric, SQL‐based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M, performance tuning, RLS, and deployment via pipelines. Understanding of Power BI engineering discipline: PBIP/TMDL source ...

Design, implement and maintain scalable ETL/ELT pipelines, ensuring data quality, integrity and reconciliation throughout the migration. Develop and optimise data warehouse structures, star schemas and dimensional models to support business and regulatory reporting. Apply best practices for Snowflake performance tuning, query optimisation and cost efficiency. Implement automated … design, query optimisation, performance tuning and troubleshooting. Significant experience designing and delivering enterprise-scale ETL/ELT solutions. Strong understanding of data warehousing principles, star schema design, dimensional modelling and data architecture. Experience with data governance, data quality and reconciliation within enterprise environments. Familiarity with Git-based source ...

/ELT solutions. Knowledge of Lakehouse and Data Warehouse architectures. Experience with Data Pipelines, Dataflows Gen2, and Notebooks. Understanding of data modelling techniques, including star schemas and dimensional modelling. Experience with Power BI semantic models and reporting. Knowledge of data governance, security, and performance optimisation. Experience using ...

/ELT solutions. Knowledge of Lakehouse and Data Warehouse architectures. Experience with Data Pipelines, Dataflows Gen2, and Notebooks. Understanding of data modelling techniques, including star schemas and dimensional modelling. Experience with Power BI semantic models and reporting. Knowledge of data governance, security, and performance optimisation. Experience using ...

/ELT solutions. Knowledge of Lakehouse and Data Warehouse architectures. Experience with Data Pipelines, Dataflows Gen2, and Notebooks. Understanding of data modelling techniques, including star schemas and dimensional modelling. Experience with Power BI semantic models and reporting. Knowledge of data governance, security, and performance optimisation. Experience using ...

/ELT solutions. Knowledge of Lakehouse and Data Warehouse architectures. Experience with Data Pipelines, Dataflows Gen2, and Notebooks. Understanding of data modelling techniques, including star schemas and dimensional modelling. Experience with Power BI semantic models and reporting. Knowledge of data governance, security, and performance optimisation. Experience using ...

/ELT solutions. Knowledge of Lakehouse and Data Warehouse architectures. Experience with Data Pipelines, Dataflows Gen2, and Notebooks. Understanding of data modelling techniques, including star schemas and dimensional modelling. Experience with Power BI semantic models and reporting. Knowledge of data governance, security, and performance optimisation. Experience using ...

varied unstructured content into structured meta-data; Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs; Solid ETL development, reporting knowledge based off intricate understanding of business process and measures; Knowledge of Snowflake ...

experience building and optimising semantic or data models at scale, including window functions and complex business logic. Solid understanding of data modelling principles - star schema, dimensional modelling, DAX. Experience with Power BI and the Microsoft Power Platform, including building on top of central/curated data models. Familiarity ...

varied unstructured content into structured meta-data. Knowledge of developing dimensional data models from unstructured content and awareness of the advantages and limitations of Star Schema and Snowflake schema designs. Solid ETL development, reporting knowledge based off intricate understanding of business process and measures. Knowledge of Snowflake ...

plus years in a solution architect roleOne-plus year of Microsoft Fabric experienceTwo-plus years of Power BI experience: enterprise semantic model design, star schema modeling, DAX concepts, performance and capacity management and tenant administrationEnough hands-on ability to validate prototypes, review pipelines, notebooks, semantic models ...

Copilot and natural language reporting capabilities. Desirable Exposure to Microsoft Fabric including Lakehouses, Warehouses, Dataflows Gen2 and Semantic Models. Experience designing dimensional models and star schemas to support reporting and analytics solutions. Azure data services, Databricks or cloud-based analytics platforms. Agile delivery environments. Data dictionaries, report catalogues ...

data from APIs, databases, CRM, ERP and third party platforms • Support both batch and real time data processing • Develop semantic models and work with Star Schema and Kimball modelling • Implement CI/CD and automated deployment of data solutions • Build monitoring, data quality, lineage and observability into data ...

query optimisation and working with the Azure data stack(Data Factory, Synapse/Fabric, SQL-based semantic layers). Advanced Power BI: data modelling (star schemas), advanced DAX, Power Query/M,performance tuning, RLS and deployment via pipelines. Astrong understanding of Power BI engineering discipline: PBIP/TMDLsource ...

high-performance solutions aligned with your target data architecture. Master Data Modeling Techniques – Apply expertise in various data modeling approaches, including 3NF, Data Vault, Star Schema, and One Big Table (OBT). Clearly articulate the benefits and trade-offs of each method and optimize their implementation within columnar ...

within the insurance industry, ideally with exposure to Delegated Authority and/or Large Single Risk/Specialty business Familiarity with dimensional modelling concepts (star schemas, slowly changing dimensions) as applied within a modern lakehouse environment Thought Leaders: You are seen as an expert in your field and will ...