

Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer (Azure) on a 6-month contract, paying £350-600/day (outside IR35). Remote work is available. Candidates must have Azure experience, proficiency in SQL and Python, and a solid understanding of ETL processes and data pipelines.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
600
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🗓️ - Date discovered
May 31, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Outside IR35
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🔒 - Security clearance
Unknown
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📍 - Location detailed
United Kingdom
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🧠 - Skills detailed
#Cloud #Azure #Security #Compliance #Data Storage #Scala #Programming #Data Processing #ML (Machine Learning) #Storage #Python #"ETL (Extract #Transform #Load)" #Data Engineering #Data Science #Microsoft Azure #BI (Business Intelligence) #Azure SQL #Data Pipeline #SQL (Structured Query Language) #Data Security #Databricks
Role description
Job Title: Data Engineer (Azure)
Rate: £350-600/day DOE (outside IR35)
Location: Remote
Contract Length: 6 months
A consultancy client of ours have secured a project with a leading European bank. They are seeking an Azure focused Data Engineer to work with them on a a contract basis. This is an exciting opportunity to work on cutting-edge data projects, building scalable data pipelines and cloud-based systems that deliver real impact.
The end client operate in Azure hence Microsoft Azure experience is required for consideration.
Key Responsibilities:
• Design, develop, and maintain scalable and high-performance data pipelines on Azure.
• Optimise data storage and retrieval processes to enhance performance and reduce costs.
• Collaborate with data scientists, analysts, and product teams to deliver data-driven solutions that support business objectives.
• Work with both structured and unstructured data to assist with business intelligence, analytics, and machine learning initiatives.
• Ensure data security, governance, and compliance within the cloud environment.
• Troubleshoot and optimise existing cloud-based data infrastructure to improve efficiency and cost-effectiveness.
Experience and Qualifications Required:
• Proven experience as a Data Engineer, Cloud Engineer, or in a similar role with hands-on expertise in Azure.
• Solid experience with data processing frameworks (Databricks/Azure SQL).
• Proficiency in SQL, Python, or other programming languages.
• Strong understanding of ETL processes, data modelling, and optimisation techniques.
• A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment.
Job Title: Data Engineer (Azure)
Rate: £350-600/day DOE (outside IR35)
Location: Remote
Contract Length: 6 months
A consultancy client of ours have secured a project with a leading European bank. They are seeking an Azure focused Data Engineer to work with them on a a contract basis. This is an exciting opportunity to work on cutting-edge data projects, building scalable data pipelines and cloud-based systems that deliver real impact.
The end client operate in Azure hence Microsoft Azure experience is required for consideration.
Key Responsibilities:
• Design, develop, and maintain scalable and high-performance data pipelines on Azure.
• Optimise data storage and retrieval processes to enhance performance and reduce costs.
• Collaborate with data scientists, analysts, and product teams to deliver data-driven solutions that support business objectives.
• Work with both structured and unstructured data to assist with business intelligence, analytics, and machine learning initiatives.
• Ensure data security, governance, and compliance within the cloud environment.
• Troubleshoot and optimise existing cloud-based data infrastructure to improve efficiency and cost-effectiveness.
Experience and Qualifications Required:
• Proven experience as a Data Engineer, Cloud Engineer, or in a similar role with hands-on expertise in Azure.
• Solid experience with data processing frameworks (Databricks/Azure SQL).
• Proficiency in SQL, Python, or other programming languages.
• Strong understanding of ETL processes, data modelling, and optimisation techniques.
• A collaborative mindset and the ability to work with cross-functional teams in a fast-paced environment.