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- Tasks: Shape data architecture and lead transformation efforts in a dynamic team.
- Company: Leading motor insurance provider in Greater London with a focus on innovation.
- Benefits: Flexible working, private healthcare, and wellness programmes.
- Why this job: Join a forward-thinking team and make an impact in AI analytics.
- Qualifications: Expertise in batch data processing, Python, AWS, and DevOps practices.
- Other info: Exciting opportunities for growth in a collaborative environment.
The predicted salary is between 43200 - 72000 £ per year.
A leading motor insurance provider in Greater London is seeking a Data Software Engineer to join their Claims team. You will shape the architecture of data products, lead data transformation efforts, and collaborate with data scientists. The ideal candidate is an expert in batch data processing and proficient in Python, AWS, and DevOps practices. This role offers flexible working options and numerous benefits, including private healthcare and wellness programs.
Remote Data Platform Engineer for AI Analytics & Pipelines employer: Prima
Contact Detail:
Prima Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Platform Engineer for AI Analytics & Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those involving Python and AWS. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the company's data architecture. We recommend practising common interview questions related to data processing and DevOps practices to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Data Platform Engineer for AI Analytics & Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with batch data processing, Python, AWS, and DevOps. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Platform Engineer position and how you can contribute to our Claims team. Let us know what makes you tick!
Showcase Your Collaboration Skills: Since this role involves working closely with data scientists, highlight any past experiences where you’ve successfully collaborated on projects. We love seeing teamwork in action!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Prima
✨Know Your Tech Stack
Make sure you’re well-versed in Python, AWS, and DevOps practices. Brush up on your knowledge of batch data processing and be ready to discuss how you've used these technologies in past projects. This will show that you’re not just familiar with the tools but can also apply them effectively.
✨Understand the Company’s Needs
Research the motor insurance provider and their Claims team. Understand their data challenges and think about how your skills can help solve them. Being able to articulate how you can contribute to their specific goals will set you apart from other candidates.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data architecture. Practice coding problems related to data transformation and analytics. You might even want to do a mock interview with a friend to get comfortable with articulating your thought process.
✨Show Your Collaborative Spirit
Since this role involves working closely with data scientists, be prepared to discuss your experience in collaborative environments. Share examples of how you’ve successfully worked in teams, tackled challenges together, and contributed to a positive team dynamic.