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- Tasks: Build and optimise data infrastructure for private market investments.
- Company: Innovative fintech tackling complex data challenges in private markets.
- Benefits: Attractive salary, bonuses, hybrid work, and comprehensive benefits.
- Other info: Exciting opportunity for growth in a fast-paced, collaborative environment.
- Why this job: Join a mission to revolutionise data accessibility for global wealth managers.
- Qualifications: Experience in data engineering and strong problem-solving skills.
The predicted salary is between 90000 - 140000 £ per year.
£90k–£140k + bonus + benefits
Hybrid | Central London
There's a quiet data problem at the heart of private markets and a London fintech is building the infrastructure to solve it. Every PE fund, credit strategy and infrastructure vehicle reports NAVs, capital calls and investor positions differently. Different fund admins. Different formats. Different cadences. Some APIs are terrible. Many don't exist at all. Now imagine giving a wealth manager in Zurich, a private bank in Hong Kong and an adviser in Sydney one clean, regulator-ready view across all of it - in near real time. That's the challenge that we need a software.
Data Engineer - Investment Platform employer: Kalpa Group
Contact Detail:
Kalpa Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Investment Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the fintech space, especially those working with data engineering. A casual chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data projects, especially those related to investment platforms. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the technical interview! Brush up on your data engineering concepts and be ready to tackle real-world problems. We want to see how you think through challenges, so practice coding and problem-solving.
✨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 take that extra step!
We think you need these skills to ace Data Engineer - Investment Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data infrastructure and any relevant projects you've worked on. We want to see how your skills align with our mission to solve the data problem in private markets.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the fintech space and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the challenges we face.
Showcase Your Technical Skills: Don’t forget to showcase your technical skills in your application. Mention specific tools, languages, or frameworks you’ve used that are relevant to the role. We’re looking for someone who can hit the ground running and tackle our data challenges head-on.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications 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 Kalpa Group
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially those relevant to investment platforms. Brush up on your knowledge of APIs, data formats, and how different financial instruments report their data. Being able to discuss these topics confidently will show that you understand the challenges the company is tackling.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've solved complex data issues in the past. Think about times when you had to deal with messy data or integrate disparate systems. This will demonstrate your ability to tackle the unique data problems the company faces.
✨Familiarise Yourself with the Company’s Tech Stack
Research the technologies and tools the company uses for their data infrastructure. If they mention specific programming languages or frameworks in the job description, make sure you can speak to your experience with them. This shows that you’re not just a fit for the role, but also genuinely interested in their work.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your understanding of the industry and the company's mission. Inquire about their approach to data integration or how they handle regulatory compliance. This not only shows your interest but also helps you gauge if the company aligns with your career goals.