Revolution Technology
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer on a contract until December 2026, offering £465/day (Inside IR35) in a hybrid setup (2-3 days onsite in London). Key skills required include Snowflake, Python, SQL, and experience in financial services.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
465
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🗓️ - Date
November 13, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Inside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Python #Scala #Snowflake #SQL (Structured Query Language) #Data Quality #Data Lifecycle #Data Engineering #"ETL (Extract #Transform #Load)"
Role description
Data Engineer
Contract initially till end of Dec 2026 | Hybrid 2-3 days onsite (London) | £465p/day (Inside IR35 Via umbrella)
Currently on the look for a Data Engineer for an exciting project with our consultancy client! You will design and build scalable data infrastructure to enable data-driven insights.
What I’m looking for:
• Proven experience as a Data Engineer, ideally within financial services or data analytics environments.
• Strong hands-on expertise with Snowflake, including pipeline development, data modelling, and performance optimisation.
• Proficiency in Python and SQL for data engineering and analytical tasks.
• Demonstrated experience designing, building, and integrating RESTful APIs.
• A solid foundation in ETL/ELT processes, data lifecycle management, and data quality best practices
Data Engineer
Contract initially till end of Dec 2026 | Hybrid 2-3 days onsite (London) | £465p/day (Inside IR35 Via umbrella)
Currently on the look for a Data Engineer for an exciting project with our consultancy client! You will design and build scalable data infrastructure to enable data-driven insights.
What I’m looking for:
• Proven experience as a Data Engineer, ideally within financial services or data analytics environments.
• Strong hands-on expertise with Snowflake, including pipeline development, data modelling, and performance optimisation.
• Proficiency in Python and SQL for data engineering and analytical tasks.
• Demonstrated experience designing, building, and integrating RESTful APIs.
• A solid foundation in ETL/ELT processes, data lifecycle management, and data quality best practices
