Vertus Partners
Data Engineer

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Data Engineer | Investment Technology | Buy-Side Firm
Location
London-based
Compensation
Competitive base salary + performance-related bonus
Key Technologies
Python | ETL | Data Engineering | AWS | Data Pipelines | Financial Data
The Role
A leading investment firm is looking for a Data Engineer to join a team responsible for delivering the datasets that power research, analytics and trading workflows across the business.
This is a hands-on role for someone who enjoys building reliable data solutions, working closely with technical and business users, and taking ownership of data from acquisition through to production consumption. You'll be involved in shaping how data is sourced, transformed, monitored and delivered across a sophisticated investment environment.
The firm offers the opportunity to work with large and diverse datasets, modern technology, and a highly collaborative environment where engineering work has a direct impact on investment outcomes. Specific compensation and benefits details are available on request.
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
What You Will Be Doing
- Develop and maintain data pipelines that support investment research and business-critical processes.
- Automate the onboarding and processing of new datasets to improve efficiency and scalability.
- Contribute to the design and enhancement of the firm's broader data architecture and tooling.
- Monitor data feeds, investigate issues and help ensure high levels of data integrity.
- Work with a variety of internal stakeholders to understand requirements and support data-driven decision making.
- Help establish controls and validation processes to improve data quality and coverage.


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What You Bring
- Strong Python development skills with an interest in data-focused engineering work.
- Experience building, supporting or improving automated data pipelines.
- Exposure to cloud environments, ideally AWS.
- Familiarity with source control and collaborative software development practices.
- Strong communication skills and an ability to understand end-user requirements.
- Exposure to databases, data lake technologies or financial datasets would be beneficial, but is not essential.
The Package
- Competitive base salary, annual bonus and benefits package.
- Vertus Partners is a specialist financial markets recruiter. Speak directly with the team for a confidential discussion about the opportunity, technical environment and broader platform.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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