

Cognitive Group | Part of the Focus Cloud Group
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer specializing in Azure, requiring SC Clearance or SC Clearable status. It offers a hybrid work location in London, focusing on Azure Data Factory, Synapse, Fabric, and SQL, with leadership experience essential.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
Unknown
-
🗓️ - Date
July 30, 2026
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Yes
-
📍 - Location detailed
England, United Kingdom
-
🧠 - Skills detailed
#Compliance #Data Engineering #Databricks #Security #Azure Synapse Analytics #Data Architecture #Data Storage #Storage #Azure #Documentation #Azure Databricks #Data Governance #Data Management #SQL (Structured Query Language) #Data Quality #Data Pipeline #Scala #Synapse #ADF (Azure Data Factory) #Data Lake #Azure Data Factory #Data Security
Role description
Data Engineer - Azure
Hybrid working - London
SC Clearance or SC Clearable
Key skills - Azure, Fabric, SQL, Synapse
We are looking for an experienced Lead Data Engineer who has a strong background in data engineering and architecture, with expertise in Azure Data Factory, Synapse, Fabric, and SQL. The role requires hands-on technical skills as well as the ability to lead a team or manage projects.
Key Responsibilities:
• Design, develop, and maintain data solutions using Azure Data Factory, Azure Synapse Analytics, Azure Fabric, and SQL.
• Lead and mentor a team of data engineers, guiding them in best practices for data management and architecture.
• Oversee end-to-end data pipeline development, ensuring data quality, integrity, and scalability.
• Collaborate with stakeholders to understand business requirements and translate them into effective data solutions.
• Optimize data storage and retrieval processes, ensuring high performance and efficiency.
• Maintain documentation of data architecture and processes.
• Ensure compliance with industry regulations and security standards.
Must-Have Skills:
• Azure Data Factory, Synapse, Fabric, SQL: Advanced experience in designing and implementing solutions.
• Has experience in leading a team or managing data engineering projects.
• SC Clearance or SC Clearable: Candidates must currently hold SC (Security Clearance) or be eligible for clearance.
• Experience with other Azure services, such as Azure Databricks or Azure Data Lake.
• Knowledge of data governance and data security best practices.
Send through your CV if interested to arrange a call and discuss furth
Data Engineer - Azure
Hybrid working - London
SC Clearance or SC Clearable
Key skills - Azure, Fabric, SQL, Synapse
We are looking for an experienced Lead Data Engineer who has a strong background in data engineering and architecture, with expertise in Azure Data Factory, Synapse, Fabric, and SQL. The role requires hands-on technical skills as well as the ability to lead a team or manage projects.
Key Responsibilities:
• Design, develop, and maintain data solutions using Azure Data Factory, Azure Synapse Analytics, Azure Fabric, and SQL.
• Lead and mentor a team of data engineers, guiding them in best practices for data management and architecture.
• Oversee end-to-end data pipeline development, ensuring data quality, integrity, and scalability.
• Collaborate with stakeholders to understand business requirements and translate them into effective data solutions.
• Optimize data storage and retrieval processes, ensuring high performance and efficiency.
• Maintain documentation of data architecture and processes.
• Ensure compliance with industry regulations and security standards.
Must-Have Skills:
• Azure Data Factory, Synapse, Fabric, SQL: Advanced experience in designing and implementing solutions.
• Has experience in leading a team or managing data engineering projects.
• SC Clearance or SC Clearable: Candidates must currently hold SC (Security Clearance) or be eligible for clearance.
• Experience with other Azure services, such as Azure Databricks or Azure Data Lake.
• Knowledge of data governance and data security best practices.
Send through your CV if interested to arrange a call and discuss furth






