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Data EngineerZego · London
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Zego

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Data Engineer

🗓️ Posted 2026-09-14 London Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 4,500 GBP–7,500 GBP/mo

About the Company

At Zego, we're on a mission to do the good thing, not the insurance thing. Insurance hasn't changed much in over a century. The way we live, work and travel has. We're building the real-time, AI-driven infrastructure that powers innovative insurance, so good drivers get cover that works the way they actually drive. We're not just updating insurance; We're leading the AI evolution in insurance. For us, AI isn't a line on a roadmap or a buzzword on a slide. It's our operating reality, and it's how we build products that back drivers instead of the old insurance playbook. We don't do things slowly, and we don't do bureaucracy. We back high-performance builders who want ownership, early responsibility and the chance to do the most career-defining work of their lives.

About the Role

We're looking for a Data Engineer to join our data engineering function, helping to build and maintain the data platform that powers Zego's ambitious growth. This is a hands-on technical role. You'll build and maintain scalable, reliable, and secure data pipelines, working within an established platform and architecture. You'll work closely with peers across Engineering, Data Science, Analytics, and Product to ensure our data infrastructure is efficient and reliable. AI is central to how we work at Zego, and that extends to engineering. You'll be encouraged to use AI tools to move faster, automate the routine, and focus your time on the problems that matter most, while staying thoughtful about where and how they add value.

Responsibilities

  • ● Build, maintain, and improve data pipelines and related systems.
  • ● Follow and help uphold best practices in data engineering, including testing, CI/CD, observability, and infrastructure as code.
  • ● Take part in code reviews and team knowledge sharing.
  • ● Build and maintain data pipelines, warehouses, and streaming systems within our existing architecture.
  • ● Ensure data is modelled and structured to meet the needs of analytics, data science, and operational use cases.
  • ● Contribute to improvements in our data systems and tooling.
  • ● Work with teams across the business to understand requirements and turn them into reliable technical solutions.
  • ● Help identify opportunities for optimisation and tool improvements.
  • ● Deliver against the technical roadmap for data engineering.

Requirements

  • ● Experience: 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments.
  • ● Experience building and operating ETL/ELT pipelines.
  • ● Hands-on experience with modern data stacks - our tech includes Python, SQL, Snowflake, Apache Iceberg, AWS S3, PostgresDB, Airflow, dbt, and Apache Spark, deployed via AWS, Docker, and Terraform (experience with some of these or similar technologies is expected).
  • ● Ability to work effectively with teammates and stakeholders.
  • ● Pragmatic approach to balancing quality with delivery needs.
  • ● Eagerness to learn, take feedback, and grow your technical skills.
  • ● You work AI-first, you will use AI daily here, and we mean daily, you do not need to arrive an expert, but you do need to arrive curious, experiment fast, and take ownership of getting good quickly.