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- Tasks: Manage on-chain datasets and convert research questions into actionable insights.
- Company: Leading investment firm in Greater London with a focus on innovation.
- Benefits: Vibrant work environment, competitive salary, and opportunities for professional growth.
- Other info: Exciting opportunities for career advancement in a market-driven setting.
- Why this job: Join a dynamic team and enhance your skills in blockchain data analysis.
- Qualifications: 6+ years of blockchain data experience and strong SQL and Python skills.
The predicted salary is between 70000 - 90000 £ per year.
A leading investment firm in Greater London seeks an experienced On-Chain Data Analyst to enhance on-chain research capabilities. The ideal candidate will manage datasets for attribution and labeling, converting research questions into actionable datasets.
Responsibilities include:
- Maintaining EVM-chain data quality
- Supporting research-to-engineering transitions
Candidates should possess over 6 years of blockchain data experience and proficiency in SQL and Python. This role offers a vibrant, market-driven environment for professional growth.
On-Chain Data Engineer for Research & Attribution employer: Hermeneutic Investments
Contact Detail:
Hermeneutic Investments Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land On-Chain Data Engineer for Research & Attribution
✨Tip Number 1
Network like a pro! Reach out to folks in the blockchain space, especially those already working at the firm you're eyeing. A friendly chat can open doors and give you insider info that could make all the difference.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a project that highlights your SQL and Python prowess. When you get the chance to chat with recruiters or during interviews, having tangible examples of your work can really set you apart.
✨Tip Number 3
Stay updated on industry trends! Being knowledgeable about the latest developments in blockchain and on-chain data will not only impress interviewers but also help you answer questions more effectively. It shows you're genuinely interested in the field.
✨Tip Number 4
Apply through our website! We make it super easy for you to submit your application directly. Plus, it gives us a chance to see your enthusiasm for the role right from the start. Don’t miss out!
We think you need these skills to ace On-Chain Data Engineer for Research & Attribution
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the On-Chain Data Engineer role. Highlight your experience with blockchain data, SQL, and Python, and don’t forget to mention any relevant projects that showcase your skills in managing datasets and ensuring data quality.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about on-chain research and how your background aligns with the responsibilities of the role. Be sure to mention specific experiences that demonstrate your ability to convert research questions into actionable datasets.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in previous roles, especially those related to data quality and research transitions. We love seeing candidates who can think critically and adapt to new situations!
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we love seeing applications come through our own platform!
How to prepare for a job interview at Hermeneutic Investments
✨Know Your Blockchain Inside Out
Make sure you brush up on your blockchain knowledge, especially EVM-chain specifics. Be ready to discuss how you've managed datasets in the past and how you can enhance on-chain research capabilities.
✨Showcase Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. Consider bringing examples of previous projects where you used these skills to convert research questions into actionable datasets.
✨Understand the Research-to-Engineering Transition
Familiarise yourself with the process of transitioning from research to engineering. Be prepared to discuss how you would maintain data quality while supporting this transition, as it’s a key responsibility of the role.
✨Ask Insightful Questions
Don’t forget to prepare some thoughtful questions about the firm’s current projects and future goals. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.