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.

This is an early-stage, venture-backed company building the operating system for modern property management through its AI platform.

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.

Please register your interest by sending your CV to Molly Bird via the apply link on this page.