

twentyAI
Data Engineer - TWE46529
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer in London (Hybrid) with an initial 6-month contract, offering up to £500/day outside IR35. Key skills include Python, SQL, ETL/ELT experience, and familiarity with financial services or fast-paced commercial environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date
July 29, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Outside IR35
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🔒 - Security
Unknown
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📍 - Location detailed
City Of London, England, United Kingdom
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🧠 - Skills detailed
#Scala #Langchain #Databricks #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #Apache Spark #Spark (Apache Spark) #Data Ingestion #Data Engineering #Python #Data Architecture #Data Pipeline #AI (Artificial Intelligence)
Role description
Data Engineer | London (Hybrid) | up to £500/day - Outside IR35 | Initial 6-Month Contract
We're partnering with a leading organisation undergoing a major transformation of its data and AI capabilities. They are looking for an experienced Data Engineer to join a growing engineering team building strategic data solutions that support business-critical functions across trading, analytics and commercial operations.
This is a hands-on engineering role where you'll design and build scalable data pipelines, solve complex technical challenges, and help evolve an enterprise data platform using modern open-source technologies.
What you'll be doing
• Designing, building and maintaining data ingestion pipelines and ETL/ELT workflows
• Developing robust data engineering solutions using Python and SQL
• Building scalable data pipelines that support multiple business functions
• Working closely with technical and business stakeholders to deliver strategic solutions
• Solving complex engineering challenges and taking ownership from design through to delivery
• Contributing to the evolution of a modern on-premise data platform
Skills:
• Excellent Python and SQL skills
• Experience building ETL/ELT pipelines and data ingestion frameworks
• Strong understanding of data architecture and data movement between systems
• Experience with modern data engineering tools and frameworks
• Extensive experience working closely with business stakeholders
• Experience with Apache Spark and Databricks is desirable
• Experience in Financial services, commodities or another fast-paced commercial environment is highly advantageous
• Exposure to AI technologies such as LangChain, agentic AI or open-source LLMs is beneficial
If interested, please apply below or reach out directly georgeia.ellis@twentyai.com
• Suitable candidates will be contacted within 24 hours
Data Engineer | London (Hybrid) | up to £500/day - Outside IR35 | Initial 6-Month Contract
We're partnering with a leading organisation undergoing a major transformation of its data and AI capabilities. They are looking for an experienced Data Engineer to join a growing engineering team building strategic data solutions that support business-critical functions across trading, analytics and commercial operations.
This is a hands-on engineering role where you'll design and build scalable data pipelines, solve complex technical challenges, and help evolve an enterprise data platform using modern open-source technologies.
What you'll be doing
• Designing, building and maintaining data ingestion pipelines and ETL/ELT workflows
• Developing robust data engineering solutions using Python and SQL
• Building scalable data pipelines that support multiple business functions
• Working closely with technical and business stakeholders to deliver strategic solutions
• Solving complex engineering challenges and taking ownership from design through to delivery
• Contributing to the evolution of a modern on-premise data platform
Skills:
• Excellent Python and SQL skills
• Experience building ETL/ELT pipelines and data ingestion frameworks
• Strong understanding of data architecture and data movement between systems
• Experience with modern data engineering tools and frameworks
• Extensive experience working closely with business stakeholders
• Experience with Apache Spark and Databricks is desirable
• Experience in Financial services, commodities or another fast-paced commercial environment is highly advantageous
• Exposure to AI technologies such as LangChain, agentic AI or open-source LLMs is beneficial
If interested, please apply below or reach out directly georgeia.ellis@twentyai.com
• Suitable candidates will be contacted within 24 hours






