Are you looking for a new challenge?
Fancy helping us shape the future of motor insurance?
Prima could be the place for you.
Since 2015, we’ve been using our love of data and tech to rethink motor insurance and bring drivers a great experience at a great price. Our story began in Italy, where we’ve quickly become the number one online motor insurance provider. In fact, we’re trusted by over 5 million drivers. And now we’re expanding to help millions more drivers in the UK and Spain.
Are you a Software Engineer who is excited about turning complex data into scalable, real-world impact? Someone who thrives on curiosity, embraces experimentation, and loves building reliable systems that power smarter decisions? You could be part of our team then, joining our Pricing and Underwriting domain to bridge the gap between machine learning, data science and engineering.
You’ll shape the architecture of data products built for analytics and data science, working on use cases like forecasting, feature engineering, customer behaviour insights, and integrating new data sources.
You’ll lead how we transform data, setting best practices in data modelling, performance optimisation, and governance to ensure data across Prima is consistent, reliable, and readily available.
You’ll build reusable tooling and frameworks that empower teams to ingest, store, transform, and serve their own data products with confidence.
You’ll partner closely with data scientists and machine learning engineers, helping refine data requirements and elevate the overall data infrastructure.
You’ll stay curious and keep evolving, experimenting with new technologies, exploring open-source tools, and engaging with the broader community to keep us at the cutting edge.
You’re a Data Engineer or Software Engineer who enjoys working with data with strong Python expertise, and you take pride in writing clean, reliable, production-grade code based in solid software engineering best practices.
You’ve built and operated batch and distributed data processing systems, as well as near real-time streaming pipelines using technologies like Kafka, Flink, or Spark. If you’ve worked with Databricks, is a big plus!
You’re comfortable working with RDBMS and data warehousing, and you understand how to design data models that actually serve business needs.
You care about quality and reliability. You’ve worked with CI/CD and testing practices for data pipelines, and you’re familiar with contributing to infrastructure-as-code setups (Terraform or CloudFormation).
And last but not least, you thrive in a culture of ownership and collaboration, jumping in beyond your scope to move things forward, and having fun along the way.
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You’ve had hands-on experience with Data Quality and Data Governance practices, and you understand why they matter.
You’re familiar with data modelling approaches (like Star Schema or OBT) and modern data architectures (Medallion, Lambda, or Kappa).
You’ve built or contributed to data platforms in the cloud (AWS preferred), working with components like S3, Glue, or Athena.
You have some exposure to data analysis, MLOps, or feature engineering, and you’re curious to go deepe
Why you’ll love it here:
We want to make Prima a happy and empowering place to work. So if you decide to join us, you can expect plenty of perks.
Work Your Way: Enjoy full flexibility – work from home, the office or a mix of both. Plus, work from anywhere for up to 30 days a year.
\uD83C\uDFC1 Grow with us: We may move fast at Prima, but we move together. Get access to learning resources, mentorship and a growth plan tailored to you.
\uD83C\uDF08 Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
Think you’re a match? Apply now.
At Prima, we celebrate uniqueness. If you don’t meet every requirement but are passionate about this role, we still want to hear from you. Innovation thrives on diverse perspectives.
Prima is proud to be an equal opportunity employer. Need accommodations during the process? Email us at [email protected]. Let’s build the future of insurance, together. 