At a Glance
- 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 opportunity to work at the forefront of blockchain research.
- 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the blockchain space on LinkedIn or at industry events. We all know that sometimes it’s not just what you know, but who you know that can land you that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects with SQL and Python. We want to see how you’ve tackled real-world problems, especially in on-chain data analysis. This will make you stand out from the crowd!
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to discuss how you’ve maintained data quality in previous roles. We suggest practising common interview questions related to blockchain data engineering.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for talented individuals who can enhance our research capabilities.
We think you need these skills to ace On-Chain Data Engineer for Research & Attribution in London
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.
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 makes you a perfect fit for the team. Keep it engaging and personal!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've turned research questions into actionable datasets. We love seeing candidates who can demonstrate their analytical thinking and problem-solving abilities.
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 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.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or explain how you've used these languages to convert research questions into actionable datasets.
✨Prepare for Technical Questions
Expect technical questions that assess your experience with data quality maintenance and research-to-engineering transitions. Think of examples from your past work that highlight your problem-solving skills and adaptability.
✨Emphasise Professional Growth
This role offers a vibrant environment for growth, so be sure to express your enthusiasm for learning and developing your skills further. Share your career aspirations and how they align with the company's goals.