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- Tasks: Own and design Harper's data pipeline, ensuring quality standards.
- Company: Fast-growing Series A startup in Greater London.
- Benefits: Competitive salary, meaningful share options, 32 days holiday, hybrid work model.
- Other info: Exciting opportunity to build a data foundation from the ground up.
- Why this job: Join us to shape the future of online shopping with impactful data solutions.
- Qualifications: Experience in data engineering and collaboration with non-technical teams.
The predicted salary is between 60000 - 80000 £ per year.
Harper, a fast-growing Series A startup in Greater London, seeks a Founding Data Engineer. In this role, you will own Harper's data end-to-end, designing and maintaining the data pipeline and quality standards. You will work closely with non-technical colleagues, ensuring a reliable data foundation for decision-making.
This position offers competitive salary and meaningful share options along with 32 days of holiday and a hybrid work model. Join us to impact the future of online shopping!
Founding Data Engineer — Build Our Data Foundation in London employer: Harper
Contact Detail:
Harper Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Engineer — Build Our Data Foundation in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. The more people you know, the better your chances of landing that Founding Data Engineer role at Harper.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects and any relevant work you've done. This will help you stand out and demonstrate your ability to build a solid data foundation.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and non-technical aspects. Since you'll be working closely with non-technical colleagues, practice explaining complex concepts in simple terms to show you're the right fit for the team.
✨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 are genuinely interested in joining us at Harper.
We think you need these skills to ace Founding Data Engineer — Build Our Data Foundation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Founding Data Engineer role. Highlight your experience with data pipelines and quality standards, as well as any collaboration with non-technical teams. We want to see how you can contribute to our mission!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about building a reliable data foundation and how your skills align with our goals at Harper. Let us know what excites you about the role!
Showcase Your Projects: If you've worked on relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your ability to design and maintain data systems. We love seeing real-world applications of your skills!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re in!
How to prepare for a job interview at Harper
✨Know Your Data Inside Out
As a Founding Data Engineer, you'll need to demonstrate your expertise in data pipelines and quality standards. Brush up on your knowledge of data engineering concepts and be ready to discuss specific tools and technologies you've used in the past.
✨Communicate Clearly with Non-Technical Colleagues
Since you'll be working closely with non-technical team members, practice explaining complex data concepts in simple terms. This will show that you can bridge the gap between technical and non-technical stakeholders, which is crucial for this role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world challenges you've faced in previous roles and how you overcame them. Highlight your analytical thinking and ability to design solutions that ensure data reliability and integrity.
✨Align with Harper's Vision
Research Harper's mission and values, especially their focus on online shopping. Be ready to explain how your skills and experiences align with their goals, and express your enthusiasm for contributing to their data foundation.