Harnham - Data & Analytics Recruitment
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.
To apply for this job please visit www.reed.co.uk.
Make this application stronger
Use these quick checks before applying so your CV, interview preparation and job search are better matched to this vacancy.
Before you apply
Check the key details and make sure the role matches what you are looking for.
- Review the job title, company, location, salary and working pattern if provided.
- Check the skills, experience or qualifications requested by the employer.
- Make sure the commute, hours and contract type are realistic for you.
Tailor your CV
For Engineering Jobs, highlight the most relevant skills, experience and achievements linked to this type of work. Keep it honest, clear and focused on what the employer is asking for.
Use the CV Builder or browse Career Advice.
Prepare for interview
If your application is successful, prepare simple examples that show your motivation, strengths and suitability.
Keep searching smarter
Do not rely on one application. Keep searching similar roles and set up alerts so new vacancies reach you faster.