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Hunter Bond

Investment Data Engineer (VP) - SQL. ML, Azure - London : £130k + bonus

London
£130k/yr
Posted about 15 hours ago
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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.

Reasons to use Rodeo

I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.

Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.

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Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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It searches the market for you

Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.

Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Strong

Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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Strong

Only hits

No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.

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
  • ML modelling experience
  • 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

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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
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Skills

Python
SQL
Machine Learning
Azure
Databricks
Data Lake
Data Engineering
Data Governance
Data Pipelines
Financial Services
Private Credit
Asset Management

Location

London, England, United Kingdom

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