

ShareForce
Azure Data Engineer - SC Cleared
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an SC Cleared Azure Data Engineer with a contract length of unspecified duration, offering up to £445 per day. Key skills include Azure services, data pipelines, Python, and CI/CD practices. Remote work is available.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
445
-
🗓️ - Date
February 5, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Yes
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Data Governance #Data Pipeline #Data Architecture #Scala #Data Ingestion #Azure DevOps #Databricks #Data Engineering #"ETL (Extract #Transform #Load)" #Data Warehouse #Azure Databricks #AI (Artificial Intelligence) #Data Lakehouse #Python #Synapse #Azure #Batch #DevOps #Data Lake
Role description
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team working at the forefront of data analytics for a central government customer. Our client equips ambitious organisations with enduring control of their data and AI evolution.
Responsibilities:
• Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables, Medallion Architecture, Notebook development.
• Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
• Take ownership for the delivery of core solution components.
• Support with planning, requirements refinement and work estimation.
Skills and Experiences:
• Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration)
• Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements
• Experience with Azure Synapse, Azure Databricks, Microsoft Fabric, Data Factory.
• Expert Python skills
• Good experience of CI/CD practices and tools for data platforms using Azure DevOps
• Good understanding of data governance and data architecture principles
• Excellent communication skills
• Desirable certification in Azure Data Engineering and Databricks Engineering
Additional Information:
• Day Rate: Up to £445
• IR35 Status: Outside
• Location: Remote
• Required: Active SC Clearance
This is an exciting contract opportunity for an SC Cleared Azure Data Engineer to join an experienced team working at the forefront of data analytics for a central government customer. Our client equips ambitious organisations with enduring control of their data and AI evolution.
Responsibilities:
• Design and implement scalable data pipelines and ETL processes using Azure and Databricks technologies including Delta Live Tables, Medallion Architecture, Notebook development.
• Lead technical discussions with clients and stakeholders to gather requirements and propose solutions.
• Take ownership for the delivery of core solution components.
• Support with planning, requirements refinement and work estimation.
Skills and Experiences:
• Design and develop end-to-end data solutions leveraging Azure services for batch, real time and streaming workloads (including data ingestion, cleansing, modelling and integration)
• Strong background of enterprise data platform development, concepts and methods such as data warehouses and data lakehouse, with the ability to adapt and tailor based on requirements
• Experience with Azure Synapse, Azure Databricks, Microsoft Fabric, Data Factory.
• Expert Python skills
• Good experience of CI/CD practices and tools for data platforms using Azure DevOps
• Good understanding of data governance and data architecture principles
• Excellent communication skills
• Desirable certification in Azure Data Engineering and Databricks Engineering
Additional Information:
• Day Rate: Up to £445
• IR35 Status: Outside
• Location: Remote
• Required: Active SC Clearance






