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Pivotal London

Senior Data Engineer

London
£500/day
Posted about 20 hours ago
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Senior Data Engineer | £500/day Outside IR35 | 6-Month Contract | London

I’m currently working with a global luxury travel and hospitality brand that is looking for a Senior Data Engineer to join them on an exciting 6-month project.

This is a hands-on, build-focused opportunity for an experienced Data Engineer who enjoys designing scalable data infrastructure, building robust pipelines and taking ownership of architecture and data models.

  • Location: London – 2 days onsite per week
  • Day rate: £500/day Outside IR35
  • Contract: 6 months
  • Start: ASAP
  • Location: UK-based candidates

The role

You will be responsible for designing and building data infrastructure from the ground up, working across cloud platforms, data integrations and modelling.

The role will involve:

  • Designing and building scalable data pipelines and infrastructure
  • Working extensively with Google Cloud Platform and BigQuery
  • Developing robust solutions using Python and SQL
  • Integrating data from APIs and multiple external sources
  • Designing data models and contributing to the overall data architecture
  • Working with marketing and customer data, including GA4, Google Ads and Meta
  • Building reliable, scalable foundations for reporting and analytics
  • Taking ownership of technical decisions and driving projects forward

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.

We're looking for someone with:

  • Strong commercial experience working with GCP and BigQuery
  • Excellent Python and SQL skills
  • Proven experience designing and building data pipelines
  • Strong understanding of data architecture and data modelling
  • Experience working with APIs and integrating multiple data sources
  • A hands-on, problem-solving approach and genuine builder's mindset
  • The ability to work independently and take ownership in a project environment

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Experience working with marketing, customer or performance data would be beneficial, particularly across platforms such as GA4, Google Ads or Meta.

However, direct marketing platform experience is not essential. If you have strong GCP and BigQuery experience and can demonstrate that your technical skills are transferable, you will be considered.

This is an excellent opportunity for a Senior Data Engineer who wants genuine ownership and the opportunity to build rather than simply maintain an existing data environment.

If you are available for a new contract, based in the UK and able to commit to 2 days onsite in London each week, please get in touch.

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Skills

Google Cloud Platform
BigQuery
Python
SQL
Data Pipeline Design
Data Architecture
Data Modelling
API Integration
GA4
Google Ads
Meta Ads

Location

London, England, United Kingdom

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