At a Glance
- Tasks: Help shape the future of motor insurance through innovative data solutions.
- Company: Join Prima, the number one online motor insurance provider in Italy, expanding to the UK and Spain.
- Benefits: Enjoy flexible working, private healthcare, gym discounts, and tailored growth plans.
- Other info: Diverse and inclusive workplace with opportunities for personal and professional growth.
- Why this job: Make a real impact in a dynamic team while learning from experienced professionals.
- Qualifications: Strong STEM background, programming skills, and a passion for data and software.
The predicted salary is between 63000 - 77000 £ per year.
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. To help fuel that growth, we need a Junior Data Engineer to join our Engineering team. This team is the beating heart of Prima. You’ll be joining over 350 engineers across software development, infrastructure, operations and security. Fueled by curiosity, experimentation and collaboration, you’ll help deliver scalable, impactful solutions that shape the future of insurance.
Here are the details:
What you’ll do:
- Shaping the architecture of data products designed for data analytics and data science specifically focusing on use cases like forecasting, feature engineering, customer behaviour, and integration of new data sources.
- Support the data transformation by setting up best practices in areas like Data modelling, performance optimisation, Data Governance etc, ensuring that the data used within Prima is consistent, available and reliable.
- Build reusable technology that enables teams to ingest, store, transform, and serve their own data products.
- Engaging with data scientists and machine learning engineers to explore the product landscape and refine data requirements for enhanced data infrastructure.
What we’re looking for:
- Strong academic background in STEM disciplines.
- Ability to break down problems, learn quickly, and test different approaches.
- Programming foundations (language is not important. We value clean, maintainable code above all).
- Curiosity for data and software — whether from coursework, projects, or personal initiatives.
- Interest in building systems end-to-end: from ingesting and transforming data, to creating models, to deploying services.
- Motivation and eagerness to learn from more experienced teammates.
Nice-to-have:
- Participation in hackathons, open-source contributions, or side projects.
- Knowledge of Python.
- Experience with data pipelines or distributed data systems (e.g., Spark, Airflow).
£55,000 - £70,000 a year
Why you’ll love it here:
- 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.
- 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.
- Thrive and perform: Your best work begins when you feel your best. Enjoy private healthcare, gym discounts, wellbeing programs and mental health support.
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.
Let’s build the future of insurance, together.
Junior Data Engineer in London employer: Prima
At Prima, we pride ourselves on being an innovative and flexible employer, offering our Software Engineers the opportunity to work in a dynamic environment that values collaboration and continuous learning. With access to tailored growth plans, mentorship, and a commitment to employee wellbeing through private healthcare and wellness programs, we ensure that our team members thrive both personally and professionally. Join us in shaping the future of motor insurance while enjoying the flexibility to work from home or anywhere for up to 30 days a year.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Prima!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Junior Data Engineer at Prima.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Prima.
✨Apply Directly through Our Website
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We think you need these skills to ace Junior Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Prima, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Prima. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Prima
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Prima!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
