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Barclay Simpson

Data Engineer

London
£85k – £90k/yr
Posted about 20 hours ago
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London, 3 days in office £85-90k salary + Bonus + Excellent Benefits


Want to help build the data foundations behind a bank's AI and automation strategy?

This is an opportunity to join an international bank investing heavily in AI, automation and digital transformation. Working within the Strategy & Transformation team, you'll build the pipelines, integrations and data infrastructure needed to turn ambitious AI and automation projects into scalable solutions.

Technical capability is important, but so is how you operate. They're looking for someone with a clear, commercial style who enjoys being part of a team, understands the wider business context and can communicate effectively with both technical and non-technical stakeholders.

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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It searches the market for you

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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.

You'll get to...

  • Design, build and maintain data pipelines and integrations
  • Connect core banking and enterprise systems with AI and automation platforms
  • Prepare and transform data for AI, analytics and automated workflows
  • Implement data quality, validation and monitoring controls
  • Troubleshoot and improve the performance and reliability of data pipelines

What you'll bring...

  • 3-5 years' experience in Data Engineering, BI Development or similar
  • Banking or Financial Services experience
  • Strong SQL and Python skills
  • Hands-on experience building ETL/ELT pipelines
  • Experience with databases, APIs and multiple data sources
  • Strong understanding of data modelling and data warehousing

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Highly desirable...

  • Azure Data Factory, AWS or similar cloud data experience
  • Spark or other big data technologies

What's on offer?

  • £85-90k base salary
  • Competitive bonus, pension and benefits package
  • Hybrid working (3 days in the office)
  • Exposure to high-profile AI and automation projects
  • Opportunity to help shape a growing data capability

This is an excellent opportunity for a hands-on Data Engineer who wants to work on modern data challenges and play a key role in the bank's AI and automation journey.

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Skills

SQL
Python
ETL/ELT Pipelines
Data Modelling
Data Warehousing
Azure Data Factory
AWS
Spark
API Integration
Data Pipeline Design
Data Quality Control
Big Data Technologies

Location

London, England, United Kingdom

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