Indotronix Avani UK
AWS Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AWS Data Engineer with 4–8+ years of experience, focusing on AWS data solutions and AI initiatives. Contract length is 3 months, with a pay rate of "unknown," and is hybrid in Swindon or London. Key skills include AWS services, SQL, and Python.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
June 2, 2026
🕒 - Duration
3 to 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
London Area, United Kingdom
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🧠 - Skills detailed
#Data Engineering #SQL (Structured Query Language) #Athena #Data Lake #Python #S3 (Amazon Simple Storage Service) #BI (Business Intelligence) #Lambda (AWS Lambda) #AI (Artificial Intelligence) #AWS (Amazon Web Services) #ML (Machine Learning) #Data Processing #Data Science #Terraform #Redshift
Role description
Role: Business Intelligence Engineer / AWS Data Engineer
Location: Swindon or London (Hybrid – max once per month onsite)
Contract: Initial 3-month contract (strong extension potential)
We’re supporting a client in hiring an experienced Business Intelligence Engineer / AWS Data Engineer to help build and enhance a modern AWS-based data platform while contributing to emerging AI initiatives.
This role combines hands-on data engineering, BI delivery, and exposure to AI/ML technologies within a large-scale, evolving environment.
Key Skills Required
• Strong AWS data engineering experience (Glue, S3, Lambda, Redshift, Athena)
• Advanced SQL
• Python for data processing & pipelines
• BI / analytics background
• Experience with modern data platforms or data lakes
• Exposure to infrastructure tooling such as Terraform, APIs or CI/CD is beneficial
AI / ML Exposure Needed
• Candidates must demonstrate practical exposure to AI/ML concepts or tooling, such as:
• AWS Bedrock or similar AI services
• AI-enabled data products/workflows
• Generative AI / prompt engineering concepts
• ML pipelines or collaboration with Data Science teams
Experience
• Typically, 4–8+ years in Data Engineering / BI roles
• Strong experience delivering AWS-based data solutions
• Experience in regulated or complex environments is advantageous
• Public sector experience is a bonus
Role Focus
• 50% BI / Data Engineering delivery & support
• 50% New capability development including data platform & AI initiatives
Role: Business Intelligence Engineer / AWS Data Engineer
Location: Swindon or London (Hybrid – max once per month onsite)
Contract: Initial 3-month contract (strong extension potential)
We’re supporting a client in hiring an experienced Business Intelligence Engineer / AWS Data Engineer to help build and enhance a modern AWS-based data platform while contributing to emerging AI initiatives.
This role combines hands-on data engineering, BI delivery, and exposure to AI/ML technologies within a large-scale, evolving environment.
Key Skills Required
• Strong AWS data engineering experience (Glue, S3, Lambda, Redshift, Athena)
• Advanced SQL
• Python for data processing & pipelines
• BI / analytics background
• Experience with modern data platforms or data lakes
• Exposure to infrastructure tooling such as Terraform, APIs or CI/CD is beneficial
AI / ML Exposure Needed
• Candidates must demonstrate practical exposure to AI/ML concepts or tooling, such as:
• AWS Bedrock or similar AI services
• AI-enabled data products/workflows
• Generative AI / prompt engineering concepts
• ML pipelines or collaboration with Data Science teams
Experience
• Typically, 4–8+ years in Data Engineering / BI roles
• Strong experience delivering AWS-based data solutions
• Experience in regulated or complex environments is advantageous
• Public sector experience is a bonus
Role Focus
• 50% BI / Data Engineering delivery & support
• 50% New capability development including data platform & AI initiatives
