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- Tasks: Own and design Harper's data pipeline while ensuring quality standards.
- Company: Fast-growing Series A startup in Greater London.
- Benefits: Competitive salary, meaningful share options, 32 days holiday, and 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 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
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at Harper. A personal introduction can make all the difference in getting noticed.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your data engineering expertise. This will not only demonstrate your capabilities but also give you something tangible to discuss during interviews.
✨Tip Number 3
Practice makes perfect! Get ready for technical interviews by brushing up on your data pipeline knowledge and problem-solving skills. We recommend doing mock interviews with friends or using online platforms.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Harper team.
We think you need these skills to ace Founding Data Engineer — Build Our Data Foundation
Some tips for your application 🫡
Show Your Passion for Data: When writing your application, let your enthusiasm for data shine through! We want to see how much you love working with data and how it can drive decision-making. Share any personal projects or experiences that highlight your passion.
Tailor Your Application: Make sure to customise your application for the Founding Data Engineer role. Highlight relevant skills and experiences that align with our needs at Harper. We appreciate when candidates take the time to connect their background to what we’re looking for!
Keep It Clear and Concise: We value clarity in communication, so keep your application straightforward. Avoid jargon and make sure your points are easy to understand. This will help us see your thought process and how you can communicate with non-technical colleagues.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it makes the whole process smoother for everyone involved.
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 architecture and be ready to discuss specific projects where you've designed or maintained data systems.
✨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. Prepare examples of how you've successfully collaborated with cross-functional teams in the past.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about challenges you’ve faced in previous roles related to data quality or pipeline issues, and explain how you resolved them. This will show your analytical thinking and adaptability.
✨Align with Harper's Vision
Research Harper’s mission and values, especially their focus on online shopping. Be prepared to discuss how your skills and experiences align with their goals and how you can contribute to building a reliable data foundation that supports decision-making.