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- Tasks: Design and scale a cutting-edge data platform for real-time payments.
- Company: Join a leading Web3 infrastructure team in London.
- Benefits: Enjoy competitive pay, remote work, and growth opportunities.
- Other info: Fully remote role with a dynamic and innovative team.
- Why this job: Make an impact in the exciting world of Web3 and payments.
- Qualifications: 5+ years in data engineering with strong SQL skills.
The predicted salary is between 43200 - 72000 £ per year.
A leading Web3 infrastructure team in London is seeking a Senior Data Engineer to design and scale their data platform for payments. This role involves building event-driven data pipelines, ensuring data quality, and developing backend services that expose data to other platforms.
The ideal candidate has over 5 years of experience in data engineering, strong SQL skills, and familiarity with tools like Airflow and ClickHouse. The position is fully remote, offering a competitive compensation package and opportunities for growth.
Senior Data Engineer — Real‑Time Payments Platform employer: WalletConnect
Contact Detail:
WalletConnect Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Real‑Time Payments Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the Web3 space, especially those working with payments. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and backend services. Use platforms like GitHub to share your projects, especially if you've worked with Airflow or ClickHouse.
✨Tip Number 3
Prepare for the interview by brushing up on SQL and event-driven architectures. We recommend practising common data engineering scenarios and being ready to discuss how you ensure data quality in your projects.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to get noticed by the hiring team. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Senior Data Engineer — Real‑Time Payments Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with event-driven data pipelines and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about real-time payments and how your background makes you a perfect fit for our team. Let us know what excites you about this opportunity!
Showcase Your Technical Skills: Don’t forget to mention your familiarity with tools like Airflow and ClickHouse. We love seeing candidates who can hit the ground running, so highlight any specific projects where you’ve used these technologies.
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at WalletConnect
✨Know Your Data Inside Out
Make sure you brush up on your SQL skills and be ready to discuss your experience with data pipelines. Be prepared to explain how you've built and scaled data platforms in the past, especially in relation to real-time payments.
✨Familiarise Yourself with Relevant Tools
Since the role mentions tools like Airflow and ClickHouse, it’s crucial to have a solid understanding of these technologies. We recommend going through some recent projects or case studies that highlight your experience with these tools.
✨Showcase Your Problem-Solving Skills
Be ready to tackle hypothetical scenarios during the interview. Think about challenges you’ve faced in previous roles and how you overcame them, particularly in ensuring data quality and building event-driven systems.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s data strategy and future projects. This shows your genuine interest in the role and helps you gauge if the company aligns with your career goals.