Lead Data Engineer - Start-Up / Scale-up experience required
Matchtech · London · posted 24 days ago
Going rate £54,700UK median £56,914London £75,296
Home Office going rates from
Occupation
2134Programmers and software development professionals
Going rate for this occupation: £54,700 · UK median pay £56,914
Home Office going rates from
Where this salary sits
- UK pay for this occupation
- This role£100,000 to £160,000stated · above the range ONS published
- Going rate£54,700
- UK median£56,914
View these figures as a table
| Percentile | Pay |
|---|---|
| 10th | £32,835 |
| 25th | £42,289 |
| 50th | £56,914 |
| 75th | £75,794 |
| 90th | £102,860 |
| Going rate | £54,700 |
| UK median | £56,914 |
Sponsorship
Sponsorship chance
Very low
- The advert rules sponsorship out
- Occupation is eligible for Skilled Worker
- Salary clears the going rate
The advert itself says the employer will not sponsor for this role, which outweighs everything the public records show.
- A recruitment agency posted this advert, so the employer who would hold the licence is not named.
Why
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Lead Data Engineer (Permanent, London on-site 4 Days) - Sponsorship is not available for this role
A high-growth AI software company is looking for a Lead Data Engineer to own and scale the data foundations behind an AI-driven operations platform used by property teams. This is a hands-on, high-ownership role where you'll define the data architecture, set engineering standards and build systems that power product analytics and modern AI capabilities. Start-up or Scale-up experience required coupled with a computing degree from a Russell Group university.
What you'll do
Architect and build scalable data pipelines and distributed data systems Design ingestion, transformation and storage patterns for operational and AI workloads Deliver batch and real-time/streaming pipelines Build and optimise vector search and retrieval pipelines that support AI features Implement monitoring, observability and data quality frameworks Drive security, reliability and governance across the data layer Partner closely with backend and AI engineers to support training, inference and product delivery Influence technical direction and help shape the future data team as the company scales
What we're looking for
Demonstrable experience in data engineering or backend engineering with proven architecture ownership Start-Up / Scale-Up experience Russell Group university degree in a computing subject Good level of Python engineering skills Strong relational database experience (PostgreSQL preferred) including performance and query optimisation Exposure to NoSQL systems Comfortable building from scratch in a fast-moving, product-led environment Experience with vector databases and vector search in modern AI systems Desirable: Spark, Airflow, Kafka, Elasticsearch/OpenSearch, event-driven architectures Cloud experience (AWS, GCP or Azure), GCP is a plus
Why join
High impact and ownership as an early senior hire Work with a strong engineering team on real AI product challenges Competitive salary
If you are an experienced Data Engineer seeking a challenging opportunity to lead and innovate within a transformative AI company, we encourage you to apply now and become a vital part of our client's mission.
Unfortunately sponsorship is not available for this role.
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