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Lead Data Engineer

JSS Search
London
3 weeks ago
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This range is provided by JSS Search. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

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Specialist Data and Technology Headhunter

Up to £85,000

London based x3 a week

I'm looking for a Lead Data Engineer to take ownership of a Data Platform — a central enabler of insight, innovation, and growth. This is a unique opportunity to build and scale a modern data stack leveraging Snowflake and AWS, playing a hands-on leadership role in a fast-evolving, data-driven organisation.

You’ll combine deep technical skill with strategic thinking and people leadership. From architecting scalable pipelines to leading complex cross-functional initiatives, your work will empower analytics, unlock decision-making, and directly impact commercial outcomes.

What You’ll Do:

  • Design and develop robust data pipelines using Snowflake, AWS services, and modern orchestration tools
  • Lead the evolution of our data platform — frameworks, automation, tooling, and performance — with Snowflake at its core
  • Drive data integration from multiple sources (APIs, DBs, external feeds) into a unified Snowflake-powered analytics environment
  • Build production-ready data models and schemas optimised for performance, cost, and business accessibility
  • Collaborate closely with DevOps, QA, analysts, and business teams to deliver impactful data products
  • Provide technical leadership and mentoring to a growing team of data engineers
  • Enforce best practices in version control, documentation, monitoring, and automated testing
  • Ensure data quality, security, and governance within a scalable, cloud-native infrastructure
  • Partner with stakeholders to ensure the data platform supports current and future reporting, forecasting, and AI use cases
  • Stay ahead of the curve in Snowflake, AWS, and modern data engineering tooling

About You:

  • Proven experience as a Data Engineer working with Snowflake in a production environment
  • Strong cloud expertise, especially within AWS (S3, Glue, Lambda, Redshift, IAM, etc.)
  • Proficient in SQL, Python, and tools like dbt, Airflow, or similar
  • Experience optimising cost, performance, and scalability across large Snowflake environments
  • Excellent communicator with a proactive, ownership mindset
  • Passionate about coaching others, setting standards, and building elegant, scalable data solutions

Seniority level

  • Seniority levelMid-Senior level

Employment type

  • Employment typeFull-time

Job function

  • IndustriesData Infrastructure and Analytics

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