About

DATA ENGINEER LOCATION: London (Remote) SALARY: £110,000 + Equity Shape the future of AI safety by building data pipelines that handle massive scale, your work will power innovation across research and production THE OPPORTUNITY The company is a fast-growing AI safety organisation focused on building the reliability and optimisation layer for AI systems. Its core platform uses natural-language policies to define what AI models should and shouldn't do, automatically testing and enforcing these rules at scale. Backed by $11M in funding from leading investors and senior figures at major AI and tech firms, the company processes over 100 million API calls monthly. It also fine-tunes and trains its own large language models to deliver faster and more cost-effective performance than open or proprietary alternatives. The team is small, highly focused, and committed to solving hard problems with real-world impact. Employees enjoy a collaborative environment where work ships quickly to production and directly influences the future of AI safety. ROLE AND RESPONSIBILITY This role focuses on designing and building scalable data pipelines and environments to handle petabytes of logs, events, and model outputs. You'll develop internal APIs and tools that enable engineering and research teams to access data seamlessly without infrastructure complexity. Responsibilities include optimising performance for analytics workloads and enforcing governance, permissions, and security policies. Strong proficiency in SQL and Python is essential, along with experience in modern data stacks such as Snowflake, ClickHouse, and event streaming technologies. Familiarity with dashboarding tools like Metabase or Tableau is a plus. This is an opportunity to make a significant impact in a fast-paced, AI-driven environment with competitive salar