

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
-
💰 - Day rate
525
-
🗓️ - Date
December 17, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
-
📄 - Contract
Unknown
-
🔒 - Security
Unknown
-
📍 - Location detailed
London Area, United Kingdom
-
🧠 - 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.
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.






