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- Tasks: Design and build data pipelines to enhance the online shopping experience.
- Company: Fast-growing Series A startup revolutionising eCommerce and Fintech.
- Benefits: Competitive salary, flexible hours, remote work options, and growth opportunities.
- Other info: Be part of a dynamic startup culture with significant career advancement potential.
- Why this job: Join a pioneering team transforming how people shop online.
- Qualifications: Experience in data engineering and a passion for innovative tech.
The predicted salary is between 50000 - 70000 £ per year.
We are Harper, a fast-growing Series A startup at the intersection of eCommerce and Fintech. Harper is pioneering the next generation of online shopping. We bring the fitting room experience directly to customers at home, giving them the freedom to touch, feel and try on items before they buy.
Founding Data Engineer in London employer: Harper
Contact Detail:
Harper Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to people in the eCommerce and Fintech space, especially those who work at startups. A friendly chat can open doors and give you insights that might just land you that Founding Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your data engineering projects. This is your chance to demonstrate how you can contribute to Harper's mission of revolutionising online shopping.
✨Tip Number 3
Prepare for the interview by understanding Harper’s products and values. Think about how your experience aligns with their vision of enhancing the online shopping experience. We want to see your passion for what we do!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re genuinely interested in being part of our journey at Harper.
We think you need these skills to ace Founding Data Engineer in London
Some tips for your application 🫡
Show Your Passion: When writing your application, let your enthusiasm for the role shine through. We want to see how excited you are about joining Harper and contributing to our mission of revolutionising online shopping.
Tailor Your CV: Make sure your CV is tailored specifically for the Founding Data Engineer position. Highlight relevant experience and skills that align with what we’re looking for, so we can see how you fit into our vision.
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us your story. Use it to explain why you’re the perfect fit for Harper and how your background in data engineering can help us innovate in eCommerce and Fintech.
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 our team!
How to prepare for a job interview at Harper
✨Know Your Data Inside Out
As a Founding Data Engineer, you'll need to demonstrate a deep understanding of data architecture and engineering principles. Brush up on your knowledge of databases, ETL processes, and data modelling techniques. Be ready to discuss specific projects where you've successfully implemented these skills.
✨Showcase Your Problem-Solving Skills
Harper is all about innovation, so be prepared to tackle hypothetical scenarios during the interview. Think through how you would approach common data challenges in eCommerce and Fintech. Use examples from your past experiences to illustrate your problem-solving process.
✨Understand the Business Model
Familiarise yourself with Harper's business model and how data plays a crucial role in enhancing the customer experience. Be ready to discuss how you can leverage data to improve decision-making and drive growth. This shows that you're not just a techie but also understand the bigger picture.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about Harper's vision, culture, and future plans. This not only shows your interest in the company but also helps you gauge if it's the right fit for you. Think about what you want to know regarding their data strategy and team dynamics.