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BAH Partners

Data Engineer

London
Posted about 5 hours ago
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Data Operations Engineer | Buy-Side

📍 London – candidates must already be based locally
❌ No visa sponsorship available

Hiring for a leading buy-side firm in London, looking for a Data Operations Engineer to join a collaborative Data Engineering & Operations team.

The role sits at the intersection of data engineering, reliability, and operations, with a strong focus on improving how data platforms are monitored and operated.

What you’ll be doing:

  • Own and enhance data monitoring, observability, and operational processes
  • Identify recurring issues and build solutions to improve reliability and efficiency
  • Work closely with Data Engineers across a combined team of ~15
  • Automate operational workflows and continuously improve existing processes

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
ÂŁ35,000/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.

Looking for:

  • Strong Python and SQL
  • Previously needs to be working in a Finance company.
  • Experience with data monitoring/observability and a good understanding of monitoring methodologies
  • Exposure to technologies such as Pandas, Snowflake, Iceberg, Docker, and Kubernetes
  • Proactive, high-energy mindset — someone comfortable having strong opinions and constructively challenging existing processes
  • Collaborative approach and genuine interest in making systems better

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If you're interested in working within a high-calibre buy-side environment and enjoy improving the reliability and operation of data platforms, Apply with your updated CV!

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Skills

Python
SQL
Data Monitoring
Observability
Pandas
Snowflake
Iceberg
Docker
Kubernetes
Data Engineering
Operational Workflows
Financial Services

Location

London, England, United Kingdom

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