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- Tasks: Build and evolve data infrastructure for real-time financial management.
- Company: Global tech company with a focus on innovation and collaboration.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on critical financial data systems.
- Qualifications: Strong Java and Kafka skills, with a product-focused mindset.
- Other info: Collaborative environment with exciting challenges in high-scale distributed systems.
The predicted salary is between 36000 - 60000 £ per year.
A global technology company is seeking a Software Engineer to join the Finance Data Onboarding team in London. You will build and evolve data infrastructure ensuring accurate financial management.
Key responsibilities include:
- Migrating controls to real-time processing
- Handling high-scale distributed systems
- Influencing architectural decisions
Candidates should have strong Java and Kafka expertise, along with a product-focused mindset. This role offers opportunities to work on critical financial data systems in a collaborative team environment.
Real-Time Finance Data Engineer - Onboarding & Streaming employer: Wise
Contact Detail:
Wise Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Real-Time Finance Data Engineer - Onboarding & Streaming
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give us insights into the team culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a mini-project or a portfolio that highlights your Java and Kafka expertise. This will not only impress the hiring team but also demonstrate your product-focused mindset.
✨Tip Number 3
Practice makes perfect! Get together with friends or fellow job seekers to do mock interviews. Focus on technical questions related to real-time processing and distributed systems to boost our confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Real-Time Finance Data Engineer - Onboarding & Streaming
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your Java and Kafka expertise in your application. We want to see how your skills align with the role, so don’t hold back on showcasing your experience with high-scale distributed systems!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who understand our needs and can demonstrate how they can contribute to our Finance Data Onboarding team.
Be Product-Focused: Since this role requires a product-focused mindset, share examples of how you've influenced architectural decisions in past projects. We’re keen to see how you think about the bigger picture when it comes to data infrastructure.
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 in our collaborative team environment!
How to prepare for a job interview at Wise
✨Know Your Tech Stack
Make sure you brush up on your Java and Kafka skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in relation to real-time data processing and high-scale systems.
✨Understand Financial Data Systems
Familiarise yourself with financial data management concepts. Being able to speak knowledgeably about how data flows in financial systems and the importance of accuracy will show that you're not just a techie, but also understand the business side of things.
✨Show Your Collaborative Spirit
This role is all about teamwork, so be prepared to share examples of how you've worked effectively in a team environment. Highlight any experiences where you influenced architectural decisions or contributed to a product-focused mindset.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's approach to data infrastructure and their vision for real-time processing. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
