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Data Engineer

City of London
£87 – £100/hr
Posted about 22 hours ago
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Data Engineer

6 Month Contract

Location: London (Onsite 4 days a week)
Rate: £700 - £800 per day (INSIDE IR35)

About the Role

We are looking to recruit a DV Cleared Data Engineer for a leading technology consultancy. This will be joining an established defence programme requiring additional engineering support across an existing data platform.

You will be responsible for building, maintaining, and improving new and existing data pipelines within a secure MoD environment.

Due to the nature of the work, you will be required to work on-site in London 4 days a week.

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

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Key Responsibilities

  • Build and maintain robust data pipelines using Python
  • Work across Azure environments on the low side
  • Support data engineering workloads within Kubernetes environments on the high side
  • Develop and maintain workflows using Apache Airflow
  • Work with Apache Spark for large-scale data processing
  • Support the ongoing development and improvement of established data pipelines
  • Help ensure data remains within MoD-owned infrastructure in line with data governance requirements
  • Work within an existing long-running programme requiring additional delivery capacity

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Essential Skills

  • Active DV Clearance
  • Strong Python data engineering experience
  • Experience with Azure
  • Strong knowledge of Kubernetes
  • Experience with Apache Airflow
  • Experience with Apache Spark
  • Strong background building and maintaining production data pipelines

Desirable

  • Previous experience working within a Palantir environment
  • Experience delivering data solutions within secure defence or government environments
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Skills

Python
Azure
Kubernetes
Apache Airflow
Apache Spark
DV Clearance
Data Pipelines
Palantir

Location

City of London, England, United Kingdom

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