ABOUT ZEGO

At Zego, we understand that traditional motor insurance holds good drivers back. It’s too complicated, too expensive, and it doesn’t reflect how well you actually drive. Since 2016, we have been on a mission to change that by offering the lowest priced insurance for good drivers.
From van drivers and gig workers to everyday car drivers, our customers are the driving force behind everything we do. We’ve sold tens of millions of policies and raised over $200 million in funding. And we’re only just getting started.

ABOUT THE ROLE

We’re looking for a Lead Data Engineer to be a technical authority within our data engineering function, helping to shape and evolve our data platform to meet Zego’s ambitious growth.
This is a hands-on technical role- you’ll design and build scalable, resilient, and secure data systems, while acting as a mentor and technical guide for other engineers. You’ll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient, reliable, and future-proof.
While this role doesn’t involve direct line management, you’ll be expected to foster technical excellence within the team by sharing knowledge, reviewing code, and coaching others.

WHAT YOU WILL BE DOING

Technical Leadership & Mentorship

• Act as a senior technical reference point for the Data Engineering team.

• Mentor and coach other engineers, helping them grow their technical skills and deliver high-quality work.Promote best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.

Platform & Architecture

• Design, build, and maintain scalable and secure data pipelines, warehouses, and streaming systems.

• Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.Contribute to the evolution of our data architecture, ensuring it can support both current and future business needs.

Collaboration & Delivery

• Partner with teams across the business to understand requirements and translate them into robust technical solutions.

• Identify opportunities for optimisation, re-architecture, or tool improvements.Contribute to the definition and execution of the technical roadmap for data engineering.