Lead Data Engineer - Start-Up / Scale-up experience required

Matchtech; Greater London; On-site; GBP 90,000 - 140,000; Full time

Job summary

Matchtech is seeking a Lead Data Engineer in London (on-site). You will own and scale the data foundations behind an AI-driven operations platform used by property teams, delivering scalable data pipelines and real-time processing.

This is a hands-on, high-ownership role in a high-growth environment that values strong architectural leadership and engineering standards. You will work with a cross-functional team, set data architecture standards, and partner with backend and AI engineers to

Qualifications

• Demonstrated data engineering or backend ownership in a start-up/scale-up.
• Degree in computing from a Russell Group university.
• Proficient Python engineering skills.
• Strong PostgreSQL experience with performance tuning and queries.
• Exposure to NoSQL systems and distributed data architectures.
• Experience with vector databases and vector search in AI workflows.
• Ability to build data pipelines from scratch in fast-moving product environments.
• Cloud experience across AWS, GCP or Azure; GCP is a plus.

Responsibilities

• 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 for AI features.
• Implement monitoring, observability and data quality frameworks.
• Drive security, reliability and governance across the data layer.
• Partner with backend and AI engineers to support training, inference and product delivery.
• Influence technical direction and help shape the data team as the company scales.

Skills

Python

PostgreSQL

NoSQL

Vector search

Vector databases

Cloud (AWS/GCP/Azure)

Data architecture

Data pipelines

Start-up/Scale-up experience

Education

Russell Group computing degree

Tools

Spark

Airflow

Kafka

Elasticsearch/OpenSearch

Job description

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

Unfortunately sponsorship is not available for this role.