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- Tasks: Own the data infrastructure and define architecture for a high-growth startup.
- Company: Join a dynamic startup at the intersection of eCommerce and Fintech.
- Benefits: Enjoy hybrid working, competitive salary, and equity options.
- Other info: Be part of a rapidly scaling company with exciting growth potential.
- Why this job: Shape the data core and make impactful business decisions.
- Qualifications: Strong SQL skills and experience with AWS and Python required.
The predicted salary is between 60000 - 80000 £ per year.
Edison Hill Search is seeking a Founding Data Engineer to own the data infrastructure for a high-growth startup at the intersection of eCommerce and Fintech. The role involves defining data architecture, ensuring data quality, and enabling informed business decisions.
Candidates should have strong SQL skills and experience with modern data tools like AWS and Python.
This position offers hybrid working in London, competitive salary, and equity options in a rapidly scaling company.
Founding Data Engineer — Shape the Data Core & Scale. employer: Edison Hill Search
Contact Detail:
Edison Hill Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Founding Data Engineer — Shape the Data Core & Scale.
✨Tip Number 1
Network like a pro! Reach out to people in the eCommerce and Fintech space, especially those who work with data. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL projects or any data architecture you've designed. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AWS and Python. We recommend doing mock interviews with friends or using online platforms to get comfortable discussing your technical expertise.
✨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 Founding Data Engineer — Shape the Data Core & Scale.
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your SQL skills and experience with AWS and Python in your application. We want to see how you can shape our data core, so don’t hold back on showcasing your technical prowess!
Tailor Your Application: Take a moment to customise your application for the Founding Data Engineer role. Mention how your past experiences align with our needs in eCommerce and Fintech. We love seeing candidates who understand our mission!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate straightforward communication, so make sure your passion for data engineering shines through without unnecessary fluff.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Edison Hill Search
✨Know Your Data Tools
Make sure you brush up on your SQL skills and get familiar with AWS and Python. Be ready to discuss how you've used these tools in past projects, as this will show your practical experience and understanding of the data landscape.
✨Understand the Business Context
Since this role is at the intersection of eCommerce and Fintech, do some research on how data drives decisions in these sectors. Being able to articulate how data architecture can impact business outcomes will set you apart from other candidates.
✨Prepare for Technical Questions
Expect to face technical questions that test your knowledge of data architecture and quality assurance. Practise explaining complex concepts in simple terms, as this will demonstrate your ability to communicate effectively with non-technical stakeholders.
✨Show Your Passion for Growth
This is a high-growth startup, so convey your enthusiasm for working in a fast-paced environment. Share examples of how you've adapted to change in previous roles and how you can contribute to scaling the data infrastructure as the company grows.