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- Tasks: Design and manage data pipelines for on-chain data in the crypto space.
- Company: Leading crypto analytics company with a focus on innovation.
- Benefits: Competitive salary, equity package, extensive PTO, and medical insurance.
- Why this job: Join a remote-first team and shape the future of crypto analytics.
- Qualifications: Strong SQL skills, Python proficiency, and experience with data pipeline tools.
- Other info: Enjoy flexibility and numerous perks including paid parental leave.
The predicted salary is between 36000 - 60000 £ per year.
A leading crypto analytics company is seeking an Analytics Engineer to design and operate data pipelines that standardize on-chain data consumption.
The ideal candidate will have strong SQL skills, proficiency in Python, and experience with data pipelines management tools.
This remote-first role allows flexibility with a competitive salary, equity package, extensive PTO, and many perks including medical insurance and paid parental leave.
Senior Analytics Engineer — On-Chain Data Pipelines employer: Dune
Contact Detail:
Dune Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer — On-Chain Data Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the crypto and analytics space on LinkedIn or Twitter. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL and Python projects, especially those related to data pipelines. This gives us a real taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on common analytics scenarios. We love seeing how you approach problem-solving, so think through some real-world examples.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates directly.
We think you need these skills to ace Senior Analytics Engineer — On-Chain Data Pipelines
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you can manipulate and query data effectively, so include specific examples of your past work with SQL.
Python Proficiency is Key: Since Python is a big part of the role, don’t forget to mention your experience with it. Share any projects or tasks where you've used Python to build or manage data pipelines.
Experience with Data Pipeline Tools: If you've worked with any data pipeline management tools, let us know! Detail your experience and how you've used these tools to streamline processes or improve data handling.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Dune
✨Master Your SQL Skills
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects. Practising with real-world scenarios can help you articulate your experience effectively.
✨Show Off Your Python Proficiency
Since Python is a key requirement, be ready to showcase your coding skills. You might be asked to solve a problem or explain a project where you used Python for data manipulation. Having a couple of examples handy will demonstrate your expertise.
✨Understand Data Pipeline Management Tools
Familiarise yourself with various data pipeline management tools that are commonly used in the industry. Be prepared to discuss your experience with these tools and how they can optimise on-chain data consumption. This shows you're not just a coder but also a strategic thinker.
✨Prepare Questions About Company Culture
Since this is a remote-first role, it's important to understand the company culture and how they support remote employees. Prepare thoughtful questions about team collaboration, communication tools, and how they maintain a strong company culture in a remote setting.
