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- Tasks: Build crucial infrastructure for real-time financial data flow and ensure accuracy at scale.
- Company: Global Fintech company based in London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team tackling high-scale challenges in the finance sector.
- Qualifications: Strong Java and Kafka experience, plus excellent communication skills.
- Other info: Full-time role with no remote work; great for collaborative team players.
The predicted salary is between 36000 - 60000 £ per year.
A global Fintech company based in London seeks a Software Engineer to join their Finance Data Onboarding team. This role involves building crucial infrastructure for data flow to ensure financial accuracy at scale.
Candidates should have:
- Strong Java and Kafka experience
- A solid understanding of distributed systems
- Excellent communication skills
This full-time position requires collaboration with cross-functional teams to tackle high-scale challenges without the option for remote work.
Finance Data Onboarding Engineer - Real-Time Pipelines employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Finance Data Onboarding Engineer - Real-Time Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the finance and tech sectors, especially those who work at the company you're eyeing. A friendly chat can open doors and give you insider info that could set you apart.
✨Tip Number 2
Prepare for the technical interview by brushing up on your Java and Kafka skills. We recommend doing some hands-on coding challenges or mock interviews to get comfortable with the types of questions you might face.
✨Tip Number 3
Show off your communication skills! During interviews, make sure to explain your thought process clearly when tackling problems. This will demonstrate your ability to collaborate with cross-functional teams effectively.
✨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, it shows you’re genuinely interested in joining the team.
We think you need these skills to ace Finance Data Onboarding Engineer - Real-Time Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Java and Kafka experience. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Finance Data Onboarding Engineer role and how your background makes you a perfect fit for our team.
Showcase Your Communication Skills: Since this role involves collaboration with cross-functional teams, we’d love to see examples of how you’ve effectively communicated in past projects. Highlight any experiences that demonstrate your ability to work well with others.
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 during the process!
How to prepare for a job interview at Wise
✨Know Your Tech Inside Out
Make sure you brush up on your Java and Kafka skills before the interview. Be ready to discuss your past projects and how you've used these technologies to solve real-world problems, especially in distributed systems.
✨Showcase Your Collaboration Skills
Since this role involves working with cross-functional teams, prepare examples of how you've successfully collaborated in the past. Highlight any challenges you faced and how you overcame them through teamwork.
✨Understand the Company’s Mission
Do some research on the global Fintech company and its goals. Being able to articulate how your skills align with their mission will show that you're genuinely interested in the role and the company.
✨Prepare for Problem-Solving Questions
Expect to tackle high-scale challenges during the interview. Practice answering technical questions that require you to think on your feet, demonstrating your problem-solving abilities and understanding of data flow infrastructure.
