Lead Data Engineer
Location: Hybrid – 3 days per week in the London office
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.
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.
Strong hands-on experience with AWS (Azure or GCP also considered).
Excellent programming skills in Python .
Experience building and maintaining modern data pipelines using Airflow and Kafka .
Solid understanding of Snowflake or similar cloud data warehouses.
Strong communication skills and ability to excel in a fast-paced start-up environment.
This role offers the opportunity to take real ownership within a scaling SaaS business, influencing architecture, tooling, and long-term strategy.
