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Cantor Fitzgerald/BGC

Data Engineer

London
Posted about 13 hours ago
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Data Engineer

As a Data Engineer, you will play a pivotal role in constructing the data foundation for our AI and quant model initiatives. Your responsibilities will encompass:

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.

Start with a chat, not a search bar

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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It 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.

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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.

  • Managing diverse data pipelines, from market and economic data to internal and news feeds.
  • Creating and maintaining a robust data architecture.
  • Ensuring data quality.
  • Developing metadata systems.

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Your work will directly impact the performance and reliability of our client tools and quant models.

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Skills

Python
SQL
ETL
ELT
Azure
Databricks
Delta Lake
Snowflake
Time-series data
Data architecture
Data quality
Metadata systems
Kdb+
Data engineering
Analytical skills
Problem-solving

Location

London, England, United Kingdom

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