

Careerwise
AI Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Data Engineer on a contract basis (up to £525/day, Outside IR35) in the UK (Remote). Key skills include Python, PySpark, SQL, Databricks, Apache Spark, and Azure experience. AI-centric data engineering experience is required.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
344
-
🗓️ - Date
December 17, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Remote
-
📄 - Contract
Outside IR35
-
🔒 - Security
Unknown
-
📍 - Location detailed
United Kingdom
-
🧠 - Skills detailed
#Azure cloud #Data Layers #Databases #Data Pipeline #Databricks #Data Modeling #Azure #ML (Machine Learning) #SQL (Structured Query Language) #AI (Artificial Intelligence) #Cloud #Data Engineering #Python #PySpark #Apache Spark #Batch #Neo4J #Spark (Apache Spark) #ADLS (Azure Data Lake Storage) #ADF (Azure Data Factory) #HBase #Scala
Role description
🚀 Hiring: AI-Centric Data Engineer (Contract | Outside IR35)
📍 UK (Remote)
💰 upto £525 per day (Outside IR35)
We are looking for an AI-focused Data Engineer to join a fast-moving data & AI programme, building real-time data pipelines and AI-enabled data solutions. This role sits at the intersection of data engineering and applied AI, supporting modern architectures including RAG pipelines, event streaming, and graph/vector-based data models.
🔧 Key Responsibilities
• Design and build real-time data pipelines using Databricks and Spark
• Develop event-driven data solutions using Azure Event Hub and streaming frameworks
• Support AI-driven use cases, including RAG pipelines and AI-ready data layers
• Work with vector/graph-based data models (e.g. Neo4j, vector databases)
• Implement declarative pipelines and Databricks best practices
• Collaborate closely with AI/ML engineers, architects, and analytics teams
• Ensure scalability, reliability, and performance of production data systems
🧠 Required Skills & Experience
• Strong hands-on experience with Python, PySpark, and SQL
• Solid Databricks + Apache Spark experience (batch + real-time)
• Experience building event-streaming pipelines (Azure Event Hub preferred)
• Exposure to AI-centric data engineering, such as:
• RAG pipelines
• AI/ML data preparation
• Vector or graph data concepts
• Azure cloud experience (ADF, ADLS, Databricks)
• Experience with AutoLoader and declarative pipelines
⭐ Nice to Have
• Hands-on experience with Neo4j or vector databases
• Experience supporting LLM or GenAI workflows
• Knowledge of data modeling for AI/ML consumption
🎯 Why Join?
• Work on AI-driven, real-time data platforms
• Be part of a modern Databricks + Azure ecosystem
• High-impact role with strong technical ownership
• Competitive £525/day Outside IR35
📩 Interested or know someone suitable?
Drop a message or apply directly.
🚀 Hiring: AI-Centric Data Engineer (Contract | Outside IR35)
📍 UK (Remote)
💰 upto £525 per day (Outside IR35)
We are looking for an AI-focused Data Engineer to join a fast-moving data & AI programme, building real-time data pipelines and AI-enabled data solutions. This role sits at the intersection of data engineering and applied AI, supporting modern architectures including RAG pipelines, event streaming, and graph/vector-based data models.
🔧 Key Responsibilities
• Design and build real-time data pipelines using Databricks and Spark
• Develop event-driven data solutions using Azure Event Hub and streaming frameworks
• Support AI-driven use cases, including RAG pipelines and AI-ready data layers
• Work with vector/graph-based data models (e.g. Neo4j, vector databases)
• Implement declarative pipelines and Databricks best practices
• Collaborate closely with AI/ML engineers, architects, and analytics teams
• Ensure scalability, reliability, and performance of production data systems
🧠 Required Skills & Experience
• Strong hands-on experience with Python, PySpark, and SQL
• Solid Databricks + Apache Spark experience (batch + real-time)
• Experience building event-streaming pipelines (Azure Event Hub preferred)
• Exposure to AI-centric data engineering, such as:
• RAG pipelines
• AI/ML data preparation
• Vector or graph data concepts
• Azure cloud experience (ADF, ADLS, Databricks)
• Experience with AutoLoader and declarative pipelines
⭐ Nice to Have
• Hands-on experience with Neo4j or vector databases
• Experience supporting LLM or GenAI workflows
• Knowledge of data modeling for AI/ML consumption
🎯 Why Join?
• Work on AI-driven, real-time data platforms
• Be part of a modern Databricks + Azure ecosystem
• High-impact role with strong technical ownership
• Competitive £525/day Outside IR35
📩 Interested or know someone suitable?
Drop a message or apply directly.





