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Harvey Nash

DevOps Consultant

Manchester
Posted about 22 hours ago
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Data Engineer Opportunity

We are looking for a Data Engineer to join a data engineering team, building and supporting data pipelines that connect, transform, and load large and complex data feeds into an AWS lakehouse environment.

Contract Details

  • Duration: 3 months Contract
  • Mode: Remote
  • Location: Manchester, Leeds, Blackpool, and Newcastle

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.

Roles & Responsibilities

  • Build and manage data pipelines to connect different data sources and move data into the AWS data platform.
  • Create and improve pipelines for large and complex data feeds, including CDC and parallel data loads.
  • Work with AWS Glue, S3, MWAA, and Apache Iceberg to build reliable and scalable data solutions.
  • Use Python and PySpark for data processing and Terraform for infrastructure.
  • Work with Lead Data Engineers to ensure pipeline designs are correct, reusable, and perform well.
  • Support code reviews, follow data engineering standards, and help ensure smooth handover to feed suppliers.

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Location

Manchester, England, United Kingdom

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