AI Data Infrastructure Engineer | Equity & On-site London
Summary
Build and maintain scalable data pipelines for financial datasets, integrating AI agents to clean, store, and transform data for decision-making.
Arctal, a London-based startup, is seeking a full-time in-office data engineer to own data wrangling end-to-end: ingestion, cleanup, storage, transformation and distribution of large financial datasets from PDFs. You'll architect a scalable data pipeline, integrate AI agents, and ensure data quality so that datasets inform millions of dollars in decisions.
3–5 years building data pipelines or ML systems preferred; you’ll ship in a small team.