GCP Data Engineer

GCP Data Engineer

Location:London (remote-first)

Salary:£80,000 – £130,000 depending on experience + 10% bonus

We’re looking for a highly skilled and innovation-focused GCP Data Engineer to join our AI engineering team. This is a remote-first role (with a London-based HQ) offering the opportunity to build the data infrastructure that powers advanced generative and agentic AI systems.

You'll play a critical role in enabling fast-paced prototyping and deployment of intelligent applications—supporting workflows across LLMs, autonomous agents, semantic search, RAG pipelines, and memory-augmented reasoning systems.

Key Responsibilities:

• Design and build scalable, secure data pipelines using Google Cloud Platform (GCP) services including BigQuery, Dataflow, Cloud Functions, Pub/Sub, and Vertex AI.
• Support AI engineers by managing structured and unstructured data ingestion, embedding pipelines, and vector database integrations.
• Implement retrieval-augmented generation (RAG) systems using tools like Pinecone, FAISS, Chroma, or PostgreSQL.
• Develop infrastructure to support short- and long-term memory in autonomous agents.
• Work with AI orchestration frameworks (LangChain, LangGraph, CrewAI) to ensure reliable data integration and observability.
• Optimize data workflows for performance, cost-efficiency, and latency.
• Maintain strong data governance, access control, and compliance practices.

Tech Stack:

• Languages: Python, SQL
• Cloud: Google Cloud Platform (BigQuery, Dataflow, Vertex AI, Cloud Run, Pub/Sub)
• Databases: PostgreSQL, BigQuery, Pinecone, FAISS, Chroma
• Tools: dbt, Airflow, Terraform, Docker, GitHub Actions
• AI Frameworks: LangChain, LangGraph, LangFlow, CrewAI, OpenAI APIs

What We’re Looking For:

• Strong experience building and maintaining data systems on GCP
• Direct experience working on Google projects
• Experience with Agentic AI
• Proficiency in Python and SQL
• Familiarity with vector databases, embedding models, and semantic search techniques
• A background working alongside ML or AI teams in a research-heavy, experimentation-focused environment
• A detail-oriented, systems-thinking approach to infrastructure and data modelling

Nice to Have:

• Experience with multi-agent architectures or autonomous agents
• Understanding of responsible AI practices, including prompt injection prevention and data privacy
• Experience with Google Vertex AI, Amazon Bedrock, or Azure AI Studio

If you’re excited about building the data foundations for the next generation of intelligent systems, we’d love to hear from you.