Russell Tobin

AWS Data Engineer | BI & AI Projects

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer focused on BI & AI projects, offering a 3-month contract (strong extension potential) at £450 - £500 per day. Key skills include AWS services, advanced SQL, and Python, with a focus on data engineering and AI initiatives.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
500
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🗓️ - Date
June 2, 2026
🕒 - Duration
3 to 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
#Data Engineering #Athena #Data Lake #AI (Artificial Intelligence) #Cloud #Data Quality #ML (Machine Learning) #AWS Glue #SQL (Structured Query Language) #Python #S3 (Amazon Simple Storage Service) #DataOps #Redshift #BI (Business Intelligence) #AWS (Amazon Web Services) #Scala #Lambda (AWS Lambda) #Terraform #"ETL (Extract #Transform #Load)" #Data Pipeline
Role description
AWS Data Engineer (Business Intelligence & AI Projects) Initial 3 months (strong extension potential) | Hybrid (London or Swindon Area) £450 - £500 per day Umbrella We're working with a highly regarded organisation within the research and innovation sector that is investing heavily in its data platform and future AI capabilities. They are seeking an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern cloud-based data platform while contributing to exciting AI and Generative AI initiatives. What You'll Be Doing • Building and optimising AWS data pipelines • Supporting BI reporting and analytics solutions • Contributing to data lake and modern data platform development • Developing scalable ETL/ELT processes • Working on AI-enabled data initiatives and emerging technologies • Improving data quality, governance, and platform performance Key Skills Required • AWS Glue, Redshift, Athena, Lambda, and S3 • Advanced SQL • Python • Data Engineering and Data Warehousing • Business Intelligence / Analytics experience • Exposure to Generative AI, AI services, or machine learning workflows Nice to Have • AWS Bedrock • Terraform • APIs • CI/CD • DataOps practices This is an excellent opportunity to join a forward-thinking organisation at an exciting stage of its data and AI transformation journey.