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Selby Jennings

Lead Data Engineer - Multi Strat Hedge Fund

City of London
Posted about 21 hours ago
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Job Title: Lead Data Engineer

Our client, a fast-growing multi-strategy hedge fund, is looking for a Lead Data Engineer in London to help build and scale the data platforms that underpin research, analytics, applications, and investment decision-making across the firm. Working within a highly collaborative data engineering team, you'll partner directly with Quant Researchers, Portfolio Managers, Analysts, and technology teams to deliver cloud-first data solutions, shape technical standards, and play a key role in the evolution of a next-generation data platform. This is a hands-on leadership position offering significant influence over architecture, engineering direction, mentoring, and future team growth.

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.

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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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Strong

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Responsibilities

  • Lead the design and delivery of scalable data pipelines, platform services, and analytics-ready datasets
  • Architect cloud-native solutions supporting market, alternative, structured, and unstructured data
  • Drive improvements across data quality, observability, monitoring, and operational resilience
  • Partner with investment and research teams to deliver high-impact data products
  • Mentor engineers and influence engineering standards, best practices, and technical direction

Requirements

  • Strong commercial experience with Python and SQL in large-scale production environments
  • Expertise building modern data platforms using Snowflake or similar cloud data warehouse technologies
  • Hands-on experience with AWS and cloud-native data architecture
  • Experience with workflow orchestration tools such as Airflow
  • Proven track record leading complex technical projects and influencing architecture decisions

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Why Apply?

This is an opportunity to join one of the most ambitious investment platforms in the market, working on business-critical data infrastructure that directly impacts investment outcomes. You'll have significant ownership, exposure to senior stakeholders, and the chance to help shape the future of a rapidly expanding data engineering function.

Interested? Apply now or get in touch for a confidential discussion.

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Skills

Python
SQL
Snowflake
AWS
Airflow
Data Architecture
Data Pipeline Design
Cloud-Native Solutions
Technical Leadership
Mentoring

Location

City of London, England, United Kingdom

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