Our Client is building the operating system for a large, traditionally under-digitised UK services industry. Their AI platform automates the repetitive operational admin that eats up the majority of operators'' time: managing communications, compliance, coordination, and scheduling.We''re already live with pilot customers managing over 14,000 units, with strong early demand as we scale toward revenue in 2026. Backed by experienced founders and investors, we''re building toward a clear goal: the defining AI platform in our categoryAs the first senior data hire, you''ll architect and scale the systems powering our client''s AI products: from real-time pipelines and analytics infrastructure to vector databases and ML data workflows. You''ll define data architecture, tooling, and engineering standards, working closely with AI and backend engineers, and lay the foundations for the future data teDutiesArchitect and build scalable data pipelines and infrastructure for AI and product systems Design data ingestion, transformation, and storage architecturesBuild batch and real-time pipelines, plus vector search/retrieval systems for ML workflowsOwn data reliability, security, governance, and observabilityShape long-term data strategy and mentor the team as we scaleWhat You''ll Bring7+ years in data engineering or backend rolesStrong Python; experience with distributed data systemsRelational DB experience (PostgreSQL preferred)NoSQLExposure to vector databases (Qdrant, Milvus, pg ..... full job details .....