Full job description

Lead Data Engineer
Up to £100,000*Kafka or Kinesis required
London (4 days onsite)This is a great opportunity to join a high-growth organisation where you can take ownership of building and architecting a greenfield data platform for an AI-driven product.THE COMPANY:This is an early-stage, venture-backed company building the operating system for modern property management through its AI platform. THE ROLE:You will take ownership of the entire data architecture, acting as the most senior individual contributor within Data Engineering. This is a hands-on leadership role focused on technical ownership rather than people management.Key responsibilities include:*Designing and owning the company’s data architecture from the ground up
*Building scalable batch and real-time data pipelines
*Developing data ingestion, storage, and transformation frameworks
*Supporting AI and machine learning infrastructure, including vector search systems
*Implementing data quality, monitoring, and observability practices
*Collaborating closely with AI, backend engineering, and product teams
*Optimising performance, scalability, and reliability of large datasets
*Influencing long-term technical strategy and laying foundations for the data function
YOUR SKILLS AND EXPERIENCE:You will bring strong capability in:*Python development and building scalable distributed data systems
*Data architecture design and pipeline development
*Batch and streaming data processing
*Relational databases (PostgreSQL or similar)
*NoSQL and modern vector databases (e.g., Qdrant, Milvus, pgvector)
THE BENEFITS:You will receive a salary of up to £100,000 depending on experience.HOW TO APPLY:Please register your interest by sending your CV to Molly Bird via the apply link on this page.