Junior Data Engineer: Shape the Future of Insurance Tech

Junior Data Engineer: Shape the Future of Insurance Tech

Entry level 28000 - 38000 £ / year (est.) No working from home possible
Prima

At a Glance

  • Tasks: Join our team to develop data solutions that revolutionise motor insurance.
  • Company: Leading online motor insurance provider with a passion for data and tech.
  • Benefits: Competitive salary, flexible working, and opportunities for growth.
  • Other info: Join a vibrant community of over 350 engineers driving innovation.
  • Why this job: Be part of a dynamic team shaping the future of insurance technology.
  • Qualifications: A keen interest in data engineering and a collaborative mindset.

The predicted salary is between 28000 - 38000 £ 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.

The 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.

Junior Data Engineer: Shape the Future of Insurance Tech employer: Prima

At Prima, we pride ourselves on being an innovative employer that values curiosity and collaboration, making it an exciting place for a Junior Data Engineer to thrive. With a strong focus on employee growth, we offer ample opportunities for professional development within our dynamic team of over 350 engineers. Located in the heart of the tech-driven insurance sector, we provide a supportive work culture that encourages experimentation and creativity, ensuring you can make a meaningful impact while enjoying a rewarding career.

Prima

Contact Details:

Prima Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Junior Data Engineer: Shape the Future of Insurance Tech

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 Prima 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 Prima.

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 Prima.

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 Prima’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: Shape the Future of Insurance Tech

Data Engineering
Software Development
Infrastructure Management
Collaboration
Curiosity
Problem-Solving
Scalability

Some tips for your application 🫡

Show Off Your Data Skills:As you're aiming for an entry-level data science role at Prima, 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 Prima 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 Prima

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!