

Tenth Revolution Group
Data Warehouse Engineer (SC Enhanced)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Warehouse Engineer (SC Enhanced) on a 6-month contract, requiring current SC Enhanced clearance. Key skills include Azure SQL, Azure Data Factory, and Power BI. Experience in public sector environments and mission-critical systems is essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 2, 2026
🕒 - Duration
More than 6 months
-
🏝️ - Location
Unknown
-
📄 - Contract
Fixed Term
-
🔒 - Security
Yes
-
📍 - Location detailed
London
-
🧠 - Skills detailed
#Schema Design #SSIS (SQL Server Integration Services) #Security #Data Mart #Slowly Changing Dimensions #Documentation #BI (Business Intelligence) #Data Warehouse #SQL (Structured Query Language) #Microsoft Power BI #Azure SQL #Azure #Cloud #Data Ingestion #ADF (Azure Data Factory) #Synapse #Datasets #Microsoft Azure #SQL Server #Azure Data Factory
Role description
Data Warehouse Engineer (Contract)
Public Sector Programme | 6 Months | SC Enhanced (Current Clearance Required)Overview
A large-scale data warehouse programme has completed its discovery and requirements definition phase. This engagement will focus on end-to-end delivery, including building the data warehouse, developing integration pipelines, creating the semantic layer, and delivering Power BI reporting aligned to established architecture and design.
The source system is a mission-critical, always-on, globally connected Case Management System. The solution must support nightly data ingestion with zero disruption to system availability.Key Responsibilities
• Design and build a star schema data warehouse and associated data marts, including fact and dimension tables (e.g., Fact Cases, FactCaseEvents, Date, Case, Status, User, Organisation)
• Implement Slowly Changing Dimensions (SCD) where appropriate
• Develop and optimise Azure Data Factory (ADF) pipelines to ingest data from the core system, ensuring efficiency across global time zones and 24/7 operations
• Build Power BI tabular models and datasets to form the semantic layer, including robust row-level security (RLS)
• Deliver:
• Layer 1: Standard operational and management reporting
• Layer 2: OLAP-style analytical capabilities for deeper organisational insight
• Conduct performance optimisation and tuning across the solution
• Produce technical documentation to support operational handover
• Collaborate with stakeholders to ensure delivery aligns with discovery outputs and participate in programme governanceEssential Experience
• Proven hands-on delivery using Microsoft Azure data technologies, including:
• Azure SQL / Synapse
• Azure Data Factory
• Power BI (datasets, tabular models, and reporting)
• Strong experience building data warehouse solutions, including:
• Star schema design
• Fact and dimension modelling
• SCD implementation
• T-SQL performance tuning
• Experience working within always-on or mission-critical environments with strict availability and refresh constraints
• Ability to deliver within an established programme, taking pre-defined architecture and designs through to production
• Experience within public sector or regulated environments is advantageousClearance & Technology Requirements
• SC Enhanced (eSC) clearance must be current and active at the point of engagement (lapsed clearance cannot be considered)
• Candidates must be actively working with cloud-based Microsoft data platforms
• Experience limited to on-premise technologies (e.g. SQL Server, SSIS, legacy BI tools) will not be suitable
Required Technology Stack:
• Azure SQL / Synapse
• Azure Data Factory
• Power BI Service
Data Warehouse Engineer (Contract)
Public Sector Programme | 6 Months | SC Enhanced (Current Clearance Required)Overview
A large-scale data warehouse programme has completed its discovery and requirements definition phase. This engagement will focus on end-to-end delivery, including building the data warehouse, developing integration pipelines, creating the semantic layer, and delivering Power BI reporting aligned to established architecture and design.
The source system is a mission-critical, always-on, globally connected Case Management System. The solution must support nightly data ingestion with zero disruption to system availability.Key Responsibilities
• Design and build a star schema data warehouse and associated data marts, including fact and dimension tables (e.g., Fact Cases, FactCaseEvents, Date, Case, Status, User, Organisation)
• Implement Slowly Changing Dimensions (SCD) where appropriate
• Develop and optimise Azure Data Factory (ADF) pipelines to ingest data from the core system, ensuring efficiency across global time zones and 24/7 operations
• Build Power BI tabular models and datasets to form the semantic layer, including robust row-level security (RLS)
• Deliver:
• Layer 1: Standard operational and management reporting
• Layer 2: OLAP-style analytical capabilities for deeper organisational insight
• Conduct performance optimisation and tuning across the solution
• Produce technical documentation to support operational handover
• Collaborate with stakeholders to ensure delivery aligns with discovery outputs and participate in programme governanceEssential Experience
• Proven hands-on delivery using Microsoft Azure data technologies, including:
• Azure SQL / Synapse
• Azure Data Factory
• Power BI (datasets, tabular models, and reporting)
• Strong experience building data warehouse solutions, including:
• Star schema design
• Fact and dimension modelling
• SCD implementation
• T-SQL performance tuning
• Experience working within always-on or mission-critical environments with strict availability and refresh constraints
• Ability to deliver within an established programme, taking pre-defined architecture and designs through to production
• Experience within public sector or regulated environments is advantageousClearance & Technology Requirements
• SC Enhanced (eSC) clearance must be current and active at the point of engagement (lapsed clearance cannot be considered)
• Candidates must be actively working with cloud-based Microsoft data platforms
• Experience limited to on-premise technologies (e.g. SQL Server, SSIS, legacy BI tools) will not be suitable
Required Technology Stack:
• Azure SQL / Synapse
• Azure Data Factory
• Power BI Service






