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- Tasks: Build and optimise AI-powered data platforms while collaborating with a dynamic team.
- Company: Pioneering B2B SaaS company based in London, focused on innovation.
- Benefits: Competitive salary, benefits package, stock options, and hybrid work model.
- Why this job: Join a cutting-edge team and shape the future of data engineering.
- Qualifications: 4-6 years in data engineering, strong Python and PySpark skills required.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering B2B SaaS company in London is seeking a Product Engineer to join their growing team. The ideal candidate will have 4–6 years of experience in data engineering and product-focused roles, with strong skills in Python and PySpark. This hybrid position includes 3 days in the office per week and involves working on scalable data models and generative AI workflows. A competitive salary, benefits package, and stock options are offered.
Platform Engineer: AI-Powered SaaS Data Platform employer: Vivid Rock
Contact Detail:
Vivid Rock Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Platform Engineer: AI-Powered SaaS Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at the company. You never know who might give you the inside scoop or refer you directly!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python and PySpark. This will help you stand out and demonstrate your hands-on experience with scalable data models.
✨Tip Number 3
Prepare for the interview by brushing up on generative AI workflows. Be ready to discuss how you've tackled similar challenges in the past. We want to see your problem-solving skills in action!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to engage with us directly.
We think you need these skills to ace Platform Engineer: AI-Powered SaaS Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and product-focused roles. We want to see how your skills in Python and PySpark align with what we're looking for, so don’t hold back!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're excited about the role and how your background makes you a perfect fit for our AI-powered SaaS platform. Keep it engaging and personal.
Showcase Relevant Projects: If you've worked on scalable data models or generative AI workflows, make sure to mention them! We love seeing real examples of your work that demonstrate your expertise and creativity.
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’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Vivid Rock
✨Know Your Tech Inside Out
Make sure you brush up on your Python and PySpark skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Data Engineering Experience
Prepare examples from your past roles that highlight your experience in data engineering. Focus on scalable data models and any generative AI workflows you've worked on. This will demonstrate your fit for the role and your understanding of the company's needs.
✨Understand the Company’s Vision
Research the company’s products and their impact on the B2B SaaS market. Being able to articulate how your skills align with their goals will show that you're genuinely interested in the position and can contribute to their success.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack they use, and future projects. This not only shows your enthusiasm but also helps you gauge if the company culture is a good fit for you.
