Lead Data Engineer

Lead Data Engineer

We're working with a high-growth digital business that’s investing heavily in its internal engineering and data function. As they continue scaling their operations across multiple markets, they’re looking to bring on an experienced Lead Data Engineer to help shape a brand-new, real-time data platform.

About the Role

This is a hands-on individual contributor role with significant strategic impact. You’ll be responsible for architecting, building, and optimising real-time data infrastructure, collaborating closely with engineering, product, and analytics teams to ensure seamless data flow across the organisation.

You’ll own the full data lifecycle—from ingestion to transformation and delivery—leveraging modern cloud and streaming technologies.

Responsibilities

• Design and build scalable, low-latency real-time data pipelines
• Integrate diverse data sources and ensure data accuracy and integrity
• Develop and maintain data models optimised for real-time querying
• Build fault-tolerant ingestion processes and ensure high availability
• Implement logging, monitoring, and alerting for infrastructure health
• Partner with cross-functional teams to deliver robust data solutions

What You’ll Bring

• Strong hands-on experience building streaming data platforms
• Deep understanding of tools like Kafka , Flink , Spark Streaming , etc.
• Proficiency in Python , Java , or Scala
• Cloud experience with AWS , GCP , or Azure
• Familiarity with orchestration tools like Airflow , Kubernetes
• Collaborative, solutions-focused mindset and a willingness to lead from the front

What’s on Offer

• Competitive base salary + quarterly bonus
• Hybrid working with a central London HQ
• Private healthcare
• Regular team socials, lunch clubs, and international company offsites
• Ongoing investment in training and development
• Opportunity to shape a new function and work on greenfield tech