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- Tasks: Design and build modern data infrastructure for a fast-scaling private credit platform.
- Company: Leading global investment platform with a focus on private markets.
- Benefits: Competitive salary of £130k plus bonus, with opportunities for growth.
- Other info: Join a dynamic team where data drives strategic decision-making.
- Why this job: Shape the future of data strategy and work directly with investment professionals.
- Qualifications: Strong programming skills in Python and SQL, with experience in Azure.
The predicted salary is between 130000 - 130000 £ per year.
A leading global investment platform is building out its Private Markets capability and is looking to hire a high-impact Investment Data Engineer (VP level) to join its London team. This is a rare opportunity to step into a foundational data role within a fast-scaling private credit business—where you’ll shape architecture, analytics, and data strategy from the ground up.
The Opportunity
You’ll take ownership of the end-to-end data ecosystem supporting a growing private credit platform, working at the intersection of engineering, analytics, and investment decision-making. This role combines hands-on technical delivery with strategic influence, offering direct exposure to deal teams, fundraising activity, and portfolio monitoring.
Key Responsibilities
- Lead the design and build of modern data infrastructure across SQL Server and Azure (Data Lake, Databricks)
- Develop scalable data pipelines and integrate multiple internal and external systems
- Create intuitive front-end tools and workflows to drive user adoption across the business
- Build and deploy machine learning models (text extraction, deal sourcing, portfolio monitoring)
- Own and evolve portfolio data pipelines, expanding coverage across live and historical deals
- Establish data governance frameworks and data quality processes from scratch
Candidate Profile
- We’re looking for a technical self-starter who thrives in a build environment
- Strong programming skills across Python, SQL
- Proven experience building production-grade data platforms in Azure
- Experience deploying machine learning models into live environments
- Exposure to data governance and data quality frameworks
- Ability to engage business users and deliver user-facing tools and insights
- Background in financial services, private credit, or asset management is advantageous
Why Apply?
- Build a greenfield data architecture within a high-growth investment platform
- Work directly with investment professionals on deal-critical analytics
- Gain exposure to front-office decision-making and fundraising activity
- Join a team where data is central to strategy, not just reporting
Investment Data Engineer (VP) | Private Markets | London : £130k + bonus employer: Hunter Bond
Contact Detail:
Hunter Bond Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Investment Data Engineer (VP) | Private Markets | London : £130k + bonus
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and data engineering space on LinkedIn. A friendly chat can open doors that applications alone can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or GitHub repos, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with Python and Azure.
✨Tip Number 3
Prepare for those tricky questions! Brush up on your knowledge of data governance and machine learning models. Being able to discuss these topics confidently will set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about building a strong team, and we want to see your application come through directly. It shows you’re serious about joining us!
We think you need these skills to ace Investment Data Engineer (VP) | Private Markets | London : £130k + bonus
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Investment Data Engineer role. Highlight your programming skills in Python and SQL, and any experience you have with Azure and data governance frameworks.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've built data platforms or worked on machine learning models, and show your enthusiasm for shaping data strategy in a fast-scaling environment.
Showcase Your Technical Skills: In your application, don’t shy away from showcasing your technical prowess. Mention any relevant projects where you’ve developed scalable data pipelines or created user-facing tools, as these are key aspects of the role.
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 to join our team in London!
How to prepare for a job interview at Hunter Bond
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially SQL Server and Azure. Brush up on your Python skills too, as you'll likely be asked to demonstrate your programming prowess during the interview.
✨Showcase Your Data Strategy Skills
Prepare to discuss how you've previously built data infrastructure or pipelines. Be ready to share specific examples of how you’ve integrated systems or improved data quality, as this role is all about shaping architecture and strategy.
✨Engage with Real-World Scenarios
Think about potential challenges in private credit data management and how you would tackle them. This could involve discussing machine learning models or data governance frameworks, so come equipped with ideas and solutions that show your strategic thinking.
✨Connect with the Business Side
Since this role involves working closely with investment teams, be prepared to talk about how you can bridge the gap between technical data work and business needs. Highlight any experience you have in delivering user-facing tools or insights that drive decision-making.