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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: Work closely with investment professionals and gain valuable industry exposure.
- 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 Slough 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 Slough
✨Tip Number 1
Network like a pro! Reach out to folks in the investment and data engineering space on LinkedIn. Join relevant groups and participate in discussions to get your name out there. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and Azure. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and understanding of private markets. Be ready to discuss how you've built data pipelines or deployed machine learning models in the past—real-world examples go a long way!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Investment Data Engineer (VP) | Private Markets | London : £130k + bonus in Slough
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Investment Data Engineer. Highlight your experience with SQL Server, Azure, and any relevant programming skills. We want to see how your background aligns with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how you can contribute to our private markets capability. Be genuine and let your personality come through.
Showcase Your Technical Skills: Don’t just list your skills—demonstrate them! If you've built data pipelines or deployed machine learning models, share specific examples. We love seeing real-world applications of your expertise.
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. Plus, it shows you’re keen on joining our team!
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 would approach building a data architecture from scratch. Think about examples from your past experience where you’ve successfully implemented data governance frameworks or improved data quality processes.
✨Engage with Real-World Scenarios
Be ready to tackle hypothetical scenarios related to investment decision-making and portfolio monitoring. This will show your understanding of the intersection between data engineering and finance, which is crucial for this role.
✨Ask Insightful Questions
Prepare thoughtful questions that reflect your interest in the company’s private credit platform and its data strategy. This not only shows your enthusiasm but also helps you gauge if the company aligns with your career goals.