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- Tasks: Lead the design and build of modern data infrastructure for a growing private credit platform.
- Company: A leading global investment platform with a focus on private markets.
- Benefits: Competitive salary of £130k plus bonus, with opportunities for growth.
- Other info: Direct exposure to investment decision-making and fundraising activities.
- Why this job: Shape the future of data strategy in a high-growth investment environment.
- 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 in City of London 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 in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A personal connection can often get your foot in the door faster than a CV.
✨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 technical chops.
✨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.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for talented individuals like you, and applying directly can sometimes give you an edge.
We think you need these skills to ace Investment Data Engineer (VP) | Private Markets | London : £130k + bonus in City of London
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 or achievements that demonstrate your ability to design and build data infrastructure, especially in Azure and SQL Server.
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 Data Inside Out
Make sure you’re well-versed in the specifics of data architecture, especially around SQL Server and Azure. Brush up on your knowledge of data pipelines and machine learning models, as these will be crucial topics during your interview.
✨Showcase Your Technical Skills
Prepare to discuss your programming experience with Python and SQL in detail. Be ready to provide examples of how you've built production-grade data platforms and deployed machine learning models in live environments. This is your chance to shine!
✨Understand the Business Context
Familiarise yourself with the private credit landscape and how data influences investment decisions. Being able to connect your technical skills to real-world applications in financial services will impress the interviewers.
✨Engage with the Interviewers
Don’t just answer questions—ask insightful ones too! Show your interest in the company’s data strategy and how you can contribute to it. Engaging with the interviewers will demonstrate your enthusiasm and fit for the role.