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Orbis Group

Software / Data Engineer - Python (Pandas)

London
Posted about 13 hours ago
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Software / Data Engineer - Python (Pandas) - Hedge Fund

Orbis are proudly working with a global Hedge Fund who are going through a major technology modernisation initiative to transform how modernising how data flows across the business. They are looking for a Software / Data Engineer with strong Python experience to help build the next generation of their reporting and analytics platform.

This is an incredible opportunity to work as part of a high-calibre lean data team owning end-to-end greenfield builds across P&L, data and Trade Reporting.

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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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.

Your key responsibilities in this role will be:

  • Building and owning end-to-end production data systems in Python whilst helping to lead a data technology modernisation initiative
  • Building and extending risk, treasury, trade and position reporting platforms used across the business
  • Designing ETL pipelines and data models converting operational data into clean, trusted reporting layers

To be successful in this role, you will need:

  • Extensive experience in both Software and Data Engineering positions using Python including Pandas in a high-performance environment (ideally Hedge Fund, Trading, Big Tech or similar)
  • Excellent ETL development, data modelling and database/schema design
  • Hands-on experience with Clickhouse as well as Postgres, DuckDB, or Snowflake
  • Experience with TDD and CI/CD as standard working practice

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Skills

Python
Pandas
ETL Development
Data Modelling
Database Design
Clickhouse
Postgres
DuckDB
Snowflake
TDD
CI/CD
Software Engineering
Data Engineering

Location

London, England, United Kingdom

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