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Cloud

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

Job Details

Work Mode

On-site

Experience

Expert

Employment

Full-time

Salary

£100,000 - £160,000 p/y

Posted Today

Tech Stack

Required technologies & tools

PostgreSQL NoSQL Python Azure Ai Vector Search Distributed Data Systems Real-Time/Streaming Pipelines Airflow AWS Vector Databases Opensearch Spark Kafka Elasticsearch GCP

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About the Role

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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