McGregor Boyall
Senior Data Engineer

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Senior Data Engineer
Private Equity Real Estate
Location: London
Working: 5 days per week onsite (non-negotiable)
Package: Up to £120k Total Compensation
The Role
An opportunity to join a highly successful private equity investment firm as they continue to invest in their data platform and engineering capabilities.
You'll play a key role in building and evolving the firm's cloud-based data platform, developing scalable data pipelines, integrating internal and external data sources, and delivering high-quality data that directly supports investment decisions.
This is a hands-on engineering role in a fast-paced environment, working closely with investment, finance and asset management teams. You'll also mentor two junior Data Engineers while owning day-to-day technical delivery.
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.
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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.
Key Responsibilities
- Design, build and optimise scalable data pipelines and ETL processes
- Integrate internal and external data sources using APIs and scripting
- Build and enhance cloud-based data infrastructure using AWS/GCP and SQL
- Drive automation and continuous improvements across the data platform
- Ensure data quality, governance and reliability across datasets
- Develop reporting and analytics solutions to support commercial decision-making
- Partner closely with business stakeholders to deliver data-driven solutions
- Mentor and support two junior Data Engineers
Key Requirements
- 4+ years' experience in Data Engineering or a similar role
- Strong SQL and Python development experience
- Solid experience with Snowflake (essential)
- Experience building cloud-based data platforms (AWS and/or GCP)
- Experience working with APIs and integrating multiple data sources
- Strong analytical and problem-solving skills
- Comfortable working directly with business stakeholders in a fast-paced environment
- Previous mentoring or coaching experience is desirable


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Please note:
- 5 days per week onsite in Mayfair, London
- Candidates must be able to start within 2 months
Get in touch for more details - ncarolan@mcgregor-boyall.com
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
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