Infinity Quest
Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Engineer with a 6-month contract in London, UK. Pay rate is competitive. Requires 7+ years in software development, 5+ years in AWS, and expertise in Python, SQL, FastAPI, and AI engineering tools.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
Unknown
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🗓️ - Date
August 14, 2026
🕒 - Duration
Unknown
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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
#"ETL (Extract #Transform #Load)" #SQS (Simple Queue Service) #SNS (Simple Notification Service) #DynamoDB #S3 (Amazon Simple Storage Service) #IAM (Identity and Access Management) #PySpark #Athena #Python #Databases #Monitoring #Spark (Apache Spark) #SageMaker #FastAPI #Cloud #Apache Iceberg #Langchain #API (Application Programming Interface) #AWS Lambda #Docker #SQL (Structured Query Language) #Data Engineering #DevOps #Programming #Apache Spark #Observability #AI (Artificial Intelligence) #Lambda (AWS Lambda) #Spark SQL #AWS (Amazon Web Services) #GIT
Role description
Role: AWS Data Engineer
Location: London, UK
Mode: Hybrid
Type: Contract
Job Description:
Required Skills
Programming: Python, PySpark, SQL, FastAPI, OOP, Async Programming,
AWS: Lambda, S3, SQS, SNS, Step Functions, EventBridge, Glue, Athena, DynamoDB, API Gateway, IAM, CloudWatch, Secrets Manager, Bedrock, Sagemaker
AI Engineering: LangChain, LangGraph, LangSmith (monitoring), RAG, Agentic RAG, AI Agents, Multi-Agent Systems, Prompt Engineering, Context Engineering, LLMOps, Agentic Orchestration.
Data Engineering: Apache Spark, Apache Iceberg, ETL/ELT, Parquet, Schema Evolution.
DevOps: Docker, Git, LangGraph State Management, Model Context Protocol (MCP), Vector Databases (FAISS, ChromaDB, Pinecone, Milvus), AI Evaluation & Guardrails, AI Observability
Required Experience
• 7+ years of software/data application development experience
• 5+ years of hands-on AWS development (Lambda, Step Functions, S3, Glue, Athena, Bedrock, SageMaker)
• Strong expertise in Python, SQL, and FastAPI development
• Experience building serverless, event-driven data and AI applications on AWS
• Hands-on experience with RAG pipelines, Agentic AI, and multi-agent orchestration (LangChain, LangGraph)
• Experience with vector databases (FAISS, ChromaDB, Pinecone, Milvus) and semantic retrieval patterns
Role: AWS Data Engineer
Location: London, UK
Mode: Hybrid
Type: Contract
Job Description:
Required Skills
Programming: Python, PySpark, SQL, FastAPI, OOP, Async Programming,
AWS: Lambda, S3, SQS, SNS, Step Functions, EventBridge, Glue, Athena, DynamoDB, API Gateway, IAM, CloudWatch, Secrets Manager, Bedrock, Sagemaker
AI Engineering: LangChain, LangGraph, LangSmith (monitoring), RAG, Agentic RAG, AI Agents, Multi-Agent Systems, Prompt Engineering, Context Engineering, LLMOps, Agentic Orchestration.
Data Engineering: Apache Spark, Apache Iceberg, ETL/ELT, Parquet, Schema Evolution.
DevOps: Docker, Git, LangGraph State Management, Model Context Protocol (MCP), Vector Databases (FAISS, ChromaDB, Pinecone, Milvus), AI Evaluation & Guardrails, AI Observability
Required Experience
• 7+ years of software/data application development experience
• 5+ years of hands-on AWS development (Lambda, Step Functions, S3, Glue, Athena, Bedrock, SageMaker)
• Strong expertise in Python, SQL, and FastAPI development
• Experience building serverless, event-driven data and AI applications on AWS
• Hands-on experience with RAG pipelines, Agentic AI, and multi-agent orchestration (LangChain, LangGraph)
• Experience with vector databases (FAISS, ChromaDB, Pinecone, Milvus) and semantic retrieval patterns
