Data Engineer

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 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.

You'll learn from experienced engineers across the team, and you'll be encouraged to grow your technical skills while contributing to high-quality, well-tested work.

Requirements

What you will be doing

Technical Delivery

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.

Platform & Data

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.

Collaboration & Delivery

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.

About You

You’re a hands-on engineer who enjoys solving problems and building reliable systems. You bring solid technical fundamentals, a pragmatic mindset, and a collaborative approach to everything you do.

What You Bring

Experience: 2+ years as a Data Engineer working on data platforms, ideally in product-led or high-growth environments.

Technical Skills

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).

Collaboration: Ability to work effectively with teammates and stakeholders.

Problem-Solving: Pragmatic approach to balancing quality with delivery needs.

Growth Mindset: Eagerness to learn, take feedback, and grow your technical skills.

Nice to Have

Familiarity with Data Mesh or Lakehouse architectures.

Familiarity with Kubernetes, Docker, and real-time streaming technologies (e.g. Kafka, Kinesis).

Exposure to ML engineering pipelines or MLOps frameworks.

What’s it like to work at Zego?

Joining Zego is a career-defining move. People go further here, reaching their full potential to achieve extraordinary things.

We’re spread throughout the UK and Europe, and united by our drive to get things done. We’re proud of our company and our culture - a friendly and inclusive space where we can lift each other up and celebrate our wins every day.

Together, we’re setting the bar higher, delivering exceptional work that makes a difference.

Our people are the most important par