Overview

Are you ready to transform the insurance industry?

Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience. Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK’s No.1-rated home insurer by Review Centre since 2013.

The DataOps team ensures our data platform is reliable, secure, and high-performing. We manage the tools, infrastructure, and standards that enable teams to manage our source datasets and to build and maintain trusted data products with speed and confidence.

Day to day / Responsibilities

Your day to day:

As a member of the DataOps team, you’ll be responsible for:

• Defining and implementing best practices in infrastructure and software delivery in our new GCP environments.


• Evolving our CI/CD tooling using GitHub Actions to enable fast, reliable deployments.


• Building reusable Infrastructure-as-Code (IaC) templates and pipelines that product and data teams can build on.


• Developing automation and tooling to improve developer productivity and operational efficiency.


• Providing expert advice and guidance to other developer teams on cross-functional aspects, identifying performance bottlenecks, and ensuring optimal scalability.


• Embracing cloud cost optimisation, observability, and high-quality infrastructure delivery practices.


• Leveraging the latest technologies and tools to enhance developers' productivity and overall platform experience.

Who are you / Qualifications

Skills we look for (but don’t worry if you don’t tick all of them):

• Hands-on GCP experience - especially in infrastructure or data platform contexts (e.g. BigQuery, Cloud Functions, IAM etc.).


• Proficiency in at least one IaC framework; experience in Terraform would be ideal.


• Strong focus on automation - building testable and repeatable infrastructure through continuous delivery pipelines.


• Proficiency in Python with a strong emphasis on scripting in a test-driven, object-oriented manner - essential for developing automation and tooling used within the platform.


• Experience developing AWS cloud infrastructure is a bonus, as there could be opportunities to contribute to our existing AWS estate.


• A mindset of treating infrastructure as software - using code reviews, trunk-based development, and automated testing.


• Operational experience with observability practices and tooling such as logging, alerting and tracing.


• Cost awareness and ability to manage cloud spend efficiently.


• Ability to influence technical initiatives and reinforce best practices.

This role will be based in our London office in a 50/50 Hybrid mode.

Benefits

• We match your pension contributions up to 7%


• Learning budget of £1,000 a year + Study leave (with encouragement to use it)


• Enhanced maternity & paternity


• Travel season ticket loan


• Access to a wide selection of London O2 events and use of a Private Lounge

What We Stand for and Next Steps

“We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment.”

At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.

We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.

Interested in building your career at Policy Expert? Get future opportunities sent straight to your email.

Apply for this job

Indicates a required field

First Name *

Last Name *

Email *

Phone *

Resume/CV *

Enter manually

Accepted file types: pdf, doc, docx, txt, rtf

Will you require sponsorship for this position? *

What are your salary expectations? *

Are you happy with a Hybrid working environment (50/50)? *

Do you have experience with GCP? *

If so, what experience do you have with GCP? *