AI Data Engineer

📋 Description

• Design, build and operate scalable data ingestion pipelines across a range of sources, including
• Build and productionise AI pipelines that use large language models (LLMs) and machine learning to
• Develop agentic and retrieval-augmented generation (RAG) workflows, including prompt design, tool
• Establish evaluation and monitoring for AI components, including accuracy benchmarks
• Embed data quality, data governance and Responsible AI practices into every pipeline, in line with
• Research and apply modern data mastering and entity resolution techniques, including AI-assisted

🎯 Requirements

• 5+ years of experience in data engineering or a similar position, including hands-on experience
• Strong Python and SQL are minimum requirements
• Practical experience building pipelines or applications with LLMs (for example via Anthropic
• Experience with cloud data processing, GCP preferred (e.g. BigQuery, Dataflow, Cloud
• Experience in various methods of data ingestion and collection, such as web data collection, APIs
• Familiarity with RAG, embeddings and vector databases, agent frameworks or MCP is desirable