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McGregor Boyall

Senior Data Engineer

London
£90k – £100k/yr
Posted about 21 hours ago
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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.

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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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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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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Skills

Sql
Python
Snowflake
Aws
Gcp
Etl
Data Pipeline Design
Api Integration
Data Governance
Mentoring
Cloud Infrastructure
Data Analytics

Location

London, England, United Kingdom

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