At a Glance
- Tasks: Shape data architecture and support data transformation for impactful insurance solutions.
- Company: Join Prima, the leading online motor insurance provider in Italy, expanding to the UK and Spain.
- Benefits: Flexible work options, growth opportunities, private healthcare, and wellbeing support.
- Other info: Dynamic team environment with mentorship and tailored growth plans.
- Why this job: Make a real impact in the future of motor insurance with innovative data solutions.
- Qualifications: Strong STEM background, programming skills, and a curiosity for data and software.
The predicted salary is between 30000 - 40000 £ 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.
Excited to make an impact? Here are the details:- 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.
- 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.
- Participation in hackathons, open-source contributions, or side projects.
- Knowledge of Python.
- Experience with data pipelines or distributed data systems (e.g., Spark, Airflow).
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.
- 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.
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 accessible.recruiting@prima.it. Let’s build the future of insurance, together.
Junior Data Engineer new employer: helloprima
At Prima, we pride ourselves on being an innovative and empowering employer, dedicated to shaping the future of motor insurance. Our flexible work culture allows you to choose how and where you work, while our commitment to employee growth ensures access to tailored learning resources and mentorship. With a focus on wellbeing, including private healthcare and mental health support, joining our team means becoming part of a collaborative environment that values diversity and encourages personal and professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Junior Data Engineer new
✨Embrace Online Competitions
Get involved in online data science competitions like Kaggle or DrivenData. These platforms not only let you showcase your skills but also help you build a portfolio that stands out to hiring companies like helloprima when you're aiming for that entry-level role.
✨Join Data Science Meetups
Look for local data science meetups or workshops happening in your area. These are perfect for connecting with industry professionals and fellow newbies, giving us the chance to learn the ropes and get our foot in the door at companies like helloprima.
✨Networking Through University Career Services
Don't forget to leverage your university's career services! They often have exclusive internships and networking events specifically for entry-level data science positions. This is a golden opportunity to meet recruiters from companies like helloprima.
✨Spotlight Your Skills Online
Create a strong online presence by sharing your projects and insights on platforms like GitHub or LinkedIn. Make sure to apply directly through helloprima’s career page, where your unique skills can shine in their entry-level data science openings!
We think you need these skills to ace Junior Data Engineer new
Some tips for your application 🫡
Show Off Your Data Skills:As you're aiming for an entry-level data science role at helloprima, don't forget to highlight your proficiency in programming languages like Python or R. Dive into your CV and mention any relevant projects or coursework that demonstrate your data analysis skills or machine learning knowledge.
Include Relevant Projects:If you've done any data-related projects, whether in your studies or during a personal quest, showcase them in a portfolio. This gives us a tangible sense of your capabilities and shows your hands-on experience with data manipulation, visualisation, or model building.
Tailor Your Cover Letter:When crafting your cover letter, make sure to express your enthusiasm for data science and how this role at helloprima aligns with your career goals. Consider sharing why you’re drawn to data-driven decision-making and how you see yourself growing in this field.
Show Your Curiosity:In the data science world, curiosity is key! Mention any online courses or certifications you've pursued that complement your studies. This could be anything from a statistics certification to a data visualisation workshop. It shows us you're serious about learning and growing in this field.
How to prepare for a job interview at helloprima
✨Brush Up on Your Statistics
For a data science role, the interview may involve some statistical questions or problems. Make sure you're comfortable with concepts like probability, distributions, and hypothesis testing. This will not only help you answer questions but also show your analytical thinking.
✨Get Hands-On with Tools
Familiarise yourself with popular data science tools like Python, R, and SQL. If you're asked about specific projects, be ready to discuss the tools you used and how they contributed to your analysis. Showing that you not only know the theory but can apply it is essential!
✨Showcase Relevant Projects
As an entry-level candidate, your portfolio is crucial. Bring along examples of data projects you've worked on, whether during your studies or personal projects. Discuss the challenges you faced and how you overcame them, highlighting your problem-solving skills.
✨Prepare for Case Studies
Entry-level interviews in data science often include case studies where you'll have to analyse a dataset or solve a problem on the spot. Try out some practice case studies beforehand, so you're not caught off guard. It's all about displaying your thought process and how you tackle data-driven challenges!
