Lead Data Engineer (Kafka/Kinesis)
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
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)
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.