Start Date
Immediate
Expiry Date
05 Oct, 25
Salary
0.0
Posted On
05 Jul, 25
Experience
5 year(s) or above
Remote Job
Yes
Telecommute
Yes
Sponsor Visa
No
Skills
Good communication skills
Industry
Information Technology/IT
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 Head of Data Engineering to lead and grow our high-impact team of four Data Engineers. You’ll play a pivotal role in shaping the future of Zego’s data infrastructure- ensuring it scales with our ambitions while remaining resilient, efficient, and safeguarding user data privacy.
This is a hands-on leadership role that combines technical depth, strategic vision, and team enablement. You’ll partner with cross-functional leaders in Engineering, Data Science, Analytics, and Product to drive our data strategy, evolve our architecture, and deliver world-class data systems.
WHAT YOU WILL BE DOING
Team Leadership & Strategy
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- Lead, mentor, and develop a high performing team of Data Engineers, fostering a culture of learning, excellence, and ownership.
- Define and execute the data engineering roadmap aligned with Zego’s business goals.Collaborate closely with leaders in Engineering, Analytics, Product and Insurance Pricing to ensure alignment and prioritisation.
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Technical Ownership
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- Own the end-to-end architecture and reliability of Zego’s data platform, from ingestion and transformation to governance and observability.
- Guide the team in evolving our ETL/ELT pipelines, data models, and real-time processing frameworks.Lead the development of new data architectures and the introduction of new technologies.
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Innovation & Delivery
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- Drive the adoption of modern data engineering practices including testing, CI/CD, and infrastructure as code.
- Identify opportunities for tooling improvements, tech upgrades, or re-architecting where needed.