Lead Data Platform Engineer β€” Hybrid London

Lead Data Platform Engineer β€” Hybrid London

Full-Time 80000 - 100000 Β£ / year (est.) No working from home possible
GL Global

At a Glance

  • Tasks: Lead the design and delivery of a cutting-edge cloud data platform.
  • Company: GL Global, an engineering-first company focused on innovation.
  • Benefits: Hybrid work model, competitive salary, and opportunities for mentorship.
  • Other info: Join a dynamic team with a focus on ownership and growth.
  • Why this job: Shape the future of data infrastructure and drive real-time analytics.
  • Qualifications: Experience in data engineering and proficiency with modern tech stacks.

The predicted salary is between 80000 - 100000 Β£ per year.

GL Global is seeking a Lead Data Engineer to shape the next generation of its cloud data platform.

You will lead the design and delivery of scalable data infrastructure that underpins real-time products, analytics, and AI-driven capabilities.

Join an engineering-first environment with ownership and modern tech stacks.

You will drive technical direction, mentor engineers, and influence standards across the team, working with Python, Snowflake, dbt, Kafka, AWS, Docker, and Kubernetes in a hybrid #J-18808-Ljbffr

Lead Data Platform Engineer β€” Hybrid London employer: GL Global

GL Global is an exceptional employer that fosters an engineering-first culture, providing employees with the opportunity to lead innovative projects in a collaborative environment. With a focus on modern technology stacks and real-time data solutions, team members benefit from continuous learning and mentorship, ensuring personal and professional growth. Located in London, the hybrid work model allows for flexibility while being part of a dynamic team that values ownership and creativity.

GL Global

Contact Details:

GL Global Recruitment Team

We think you need these skills to ace Lead Data Platform Engineer β€” Hybrid London

Python
Communication Skills
Problem-Solving Skills
SQL
Data Engineering
Data Pipeline Development
API Integration