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Lead Data Engineer

La Fosse

Greater London

Hybrid

GBP 100,000 - 120,000

Full time

Today
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Job summary

A leading tech firm in Greater London is seeking a Lead Data Engineer to shape and scale its data function. In this pivotal role, you will lead a team of engineers, design and optimize data pipelines, and develop cloud-native solutions using AWS. The ideal candidate will have strong experience with Python, Airflow, and API development. This position allows for hybrid working, combining office presence in London three days a week with remote collaboration.

Qualifications

  • Strong hands-on experience with AWS (Azure or GCP also considered).
  • Excellent programming skills in Python.
  • Proven background in API development.

Responsibilities

  • Lead and mentor a small team of data engineers.
  • Design, build and optimise data pipelines using Python and Airflow.
  • Develop scalable, cloud-native solutions on AWS.
  • Build and maintain robust APIs and streaming pipelines.
  • Partner closely with analytics, product, and engineering teams.

Skills

AWS
Python
API development
Airflow
Snowflake
Kubernetes
Terraform
Kafka
Job description
Job Description
Lead Data Engineer

Salary : £100,000 – £120,000 per annum

Location : Hybrid – 3 days per week in the London office

About the role

We are working with a fast-growing, product-driven SaaS start-up looking for a Lead Data Engineer to help shape and scale the data function. This is an excellent opportunity for a Senior or Principal Data Engineer ready to step into a leadership role and drive technical direction across a modern data stack.

Responsibilities
  • Lead and mentor a small team of data engineers.
  • Design, build and optimise data pipelines and integrations using Python and Airflow.
  • Develop scalable, cloud-native solutions on AWS, leveraging services such as Snowflake, Kubernetes, and Terraform for infrastructure-as-code.
  • Build and maintain robust APIs and streaming pipelines (Kafka) to support real-time and batch data needs.
  • Partner closely with analytics, product, and engineering teams to ensure data is accurate, reliable, and driving business value.
Requirements
  • Strong hands-on experience with AWS (Azure or GCP also considered).
  • Excellent programming skills in Python .
  • Proven background in API developme...
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