

Sanderson
Business Intelligence Developer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Developer on a 6-month contract, paying £450/day outside IR35, based in Central London. Key skills include Microsoft Fabric, Azure technologies, Power BI, advanced SQL, and data architecture.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
450
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🗓️ - Date
October 24, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Warehouse #Migration #BI (Business Intelligence) #Data Manipulation #Semantic Models #DevOps #Synapse #PySpark #SSIS (SQL Server Integration Services) #Azure #Microsoft Power BI #Snowflake #Data Architecture #Scala #Dimensional Modelling #Spark (Apache Spark) #Data Lake #Visual Studio #Data Migration #SQL (Structured Query Language) #Azure DevOps #"ETL (Extract #Transform #Load)" #Monitoring #Azure Data Factory #DAX #ADF (Azure Data Factory) #Deployment #Data Pipeline
Role description
Outside IR35 Contract: BI Fabric Developer / Engineer
• Location: 3 Days p/w Central London
• Rate: £450 Outside IR35
• Duration: 6 Months + Extensions
This role is responsible for migrating and developing modern data and analytics solutions using Microsoft Fabric and Azure technologies. The position supports enterprise-wide BI initiatives, delivering data models, pipelines, dashboards and reporting assets that enable data-driven decision-making.
Key Responsibilities
• Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases
• Design and build data models from multiple sources to generate actionable insights
• Maintain and optimise data warehouse platforms; identify and resolve issues
• Develop data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS
• Produce enterprise-grade Power BI dashboards and paginated reports
• Translate business requirements into scalable technical BI solutions
• Write advanced SQL for Fabric Lakehouse and Warehouse environments
• Implement CI/CD processes using Azure DevOps for secure, reliable deployment
Technical Skills:
Strong expertise in:
• Power BI and paginated reporting
• SQL and data architecture
• Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling)
• DAX, Visual Studio and data transformation logic
• Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies
• ETL/ELT orchestration for structured and unstructured data
Proficiency in:
• PySpark, T-SQL, Notebooks and advanced data manipulation
• Performance monitoring and orchestration of Fabric solutions
• Power BI semantic models and Fabric data modelling
• DevOps deployment using ARM/Bicep templates
• End-to-end delivery of enterprise BI/data warehouse solutions
Outside IR35 Contract: BI Fabric Developer / Engineer
• Location: 3 Days p/w Central London
• Rate: £450 Outside IR35
• Duration: 6 Months + Extensions
This role is responsible for migrating and developing modern data and analytics solutions using Microsoft Fabric and Azure technologies. The position supports enterprise-wide BI initiatives, delivering data models, pipelines, dashboards and reporting assets that enable data-driven decision-making.
Key Responsibilities
• Lead and implement data migration into Microsoft Fabric for analytics and reporting use cases
• Design and build data models from multiple sources to generate actionable insights
• Maintain and optimise data warehouse platforms; identify and resolve issues
• Develop data pipelines using Fabric Pipelines, Azure Data Factory, Notebooks and SSIS
• Produce enterprise-grade Power BI dashboards and paginated reports
• Translate business requirements into scalable technical BI solutions
• Write advanced SQL for Fabric Lakehouse and Warehouse environments
• Implement CI/CD processes using Azure DevOps for secure, reliable deployment
Technical Skills:
Strong expertise in:
• Power BI and paginated reporting
• SQL and data architecture
• Dimensional modelling (star schema, snowflake, denormalised structures, SCD handling)
• DAX, Visual Studio and data transformation logic
• Azure Fabric, Azure Data Factory, Synapse, Data Lakes and Lakehouse/Warehouse technologies
• ETL/ELT orchestration for structured and unstructured data
Proficiency in:
• PySpark, T-SQL, Notebooks and advanced data manipulation
• Performance monitoring and orchestration of Fabric solutions
• Power BI semantic models and Fabric data modelling
• DevOps deployment using ARM/Bicep templates
• End-to-end delivery of enterprise BI/data warehouse solutions






