At a Glance
- Tasks: Design and build data platforms for blockchain analytics, processing large datasets globally.
- Company: Join Elliptic, a leader in blockchain technology with a collaborative product-engineering team.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team focused on scalability, reliability, and innovation.
- Why this job: Make an impact in the crypto ecosystem while working with cutting-edge data engineering solutions.
- Qualifications: Experience in data engineering and a passion for blockchain technology.
The predicted salary is between 59400 - 72600 £ per year.
Elliptic's Product-Engineering team builds data engineering solutions that power blockchain analytics. This hands-on role designs, constructs, and delivers a data platform capable of processing large batch and streaming datasets globally, driving insights into the crypto ecosystem.
Based in London with a hybrid work model, you will own data systems end-to-end—from design through deployment and ongoing support—collaborating across teams to advance scalability, reliability, and cost efficiency.
Senior Data Engineer - Blockchain Analytics (Hybrid) employer: Elliptic
At Elliptic, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the fast-paced world of crypto compliance. Our dynamic work culture fosters personal growth through comprehensive training, a supportive team environment, and exciting opportunities to engage with industry leaders. With competitive benefits, including flexible working arrangements and a commitment to diversity and inclusion, we empower our employees to make a meaningful impact not just within the company, but across the entire financial services landscape.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer - Blockchain Analytics (Hybrid)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Elliptic!
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Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Data Engineer - Blockchain Analytics (Hybrid) at Elliptic.
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Elliptic.
✨Apply Directly through Our Website
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Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Elliptic, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Elliptic. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Elliptic
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Elliptic!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
