Careerwise

AI / Data Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI / Data Engineer with a contract length of "unknown" and a pay rate of £525 per day. It requires strong experience in Python, SQL, and event streaming, focusing on RAG pipelines and Azure environments.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
525
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🗓️ - Date
December 17, 2025
🕒 - 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
#Neo4J #Spark (Apache Spark) #AI (Artificial Intelligence) #Databases #Data Science #Data Engineering #Graph Databases #Kafka (Apache Kafka) #Apache Spark #Databricks #Azure #HBase #Python #SQL (Structured Query Language) #Scala #PySpark
Role description
About Job: AI / Data Engineer (Event Streaming & RAG Pipelines) Contract Rate: £525 per day Location: UK – Hybrid / Remote Contract Type: Contract Role Overview: We are looking for an AI / Data Engineer with experience building AI-driven, real-time data solutions. This role focuses on event streaming architectures and supporting RAG (Retrieval-Augmented Generation) pipelines for modern AI use cases. Key Responsibilities • Build and maintain real-time data engineering solutions using event streaming • Design and support RAG pipelines (Retrieval-Augmented Generation) • Develop and manage vector and graph-based data solutions • Work with technologies such as Neo4j and Databricks Vector Search • Build scalable, production-grade data platforms on Azure • Collaborate with data science and AI teams to enable LLM-powered solutions Required Skills & Experience • Strong experience as a Data Engineer or AI Data Engineer • Hands-on expertise with Python, SQL, PySpark, Databricks, and Apache Spark • Experience with event streaming platforms (Event Hub, Kafka) • Practical experience with RAG pipelines, embeddings, or LLM-based architectures • Experience with vector databases or graph databases (Neo4j preferred) • Strong experience working in Azure environments • Experience with Auto Loader and Declarative Pipelines Nice to Have • Hands-on experience with Databricks Vector Search • Experience working with LLMs in production environments 💬 Interested? 📩 Apply or message me directly on LinkedIn to learn more.