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- Tasks: Design and implement scalable architecture for a cutting-edge payments data platform.
- Company: Join Yuno Group, a leader in data enablement with a high-performing team.
- Benefits: Enjoy competitive pay, remote work flexibility, and professional growth opportunities.
- Other info: Dynamic remote work environment with a home office bonus.
- Why this job: Make an impact in the payments industry while working with innovative technologies.
- Qualifications: 5+ years of experience in data engineering with strong Python and SQL skills.
The predicted salary is between 60000 - 80000 £ per year.
Yuno Group is hiring a Senior Data Engineer to join a high-performing data enablement team. You will design and implement architecture that scales with the payment platform, working with technologies like StarRocks, Flink, and DBT.
The ideal candidate has over 5 years of experience, strong Python and SQL skills, and a proactive approach to data engineering.
Yuno offers competitive compensation, remote work flexibility, professional growth courses, and a home office bonus.
Senior Data Engineer — Remote, Payments Data Platform employer: Yuno Group
Contact Detail:
Yuno Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Remote, Payments Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can sometimes lead to job opportunities that aren't even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and data architecture. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practising with a friend can help you articulate your experience and problem-solving skills better.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer — Remote, Payments Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant technologies like StarRocks or Flink. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Use your cover letter to showcase your proactive approach to data engineering. Tell us about a project where you designed scalable architecture and how it made an impact.
Showcase Your Experience: With over 5 years of experience, we want to hear about your journey! Share specific examples of challenges you've faced and how you overcame them in the data engineering space.
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!
How to prepare for a job interview at Yuno Group
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like StarRocks, Flink, and DBT. Brush up on your Python and SQL skills, as you’ll likely be asked to demonstrate your proficiency during the interview.
✨Showcase Your Experience
With over 5 years of experience required, prepare to discuss specific projects where you've designed and implemented scalable data architectures. Use concrete examples to illustrate your proactive approach to data engineering and how it benefited your previous teams.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about Yuno Group’s data enablement team and their current challenges. This shows your genuine interest in the role and helps you assess if the company is the right fit for you.
✨Emphasise Professional Growth
Yuno offers professional growth courses, so highlight your commitment to continuous learning. Share any relevant courses or certifications you’ve completed recently, and express your enthusiasm for further development in the field of data engineering.