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Graduate Data Engineer

London
Posted about 24 hours ago
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Our Company

At Quantum, we connect global brands with high-intent consumers. We turn intent into action and complexity into clarity.

Our Mission is clear, to help smarter, faster buying decisions. Our vision, to be the world’s most used digital comparison service, delivering value and simplicity to millions.

We drive growth through data-driven affiliate marketing built for performance from day one. Every campaign is measurable, optimised in real time, and designed to scale.

With in-house tech, full-stack analytics, and a compliance-first mindset, we give our partners an edge. We drive confident decisions and growth in regulated and high-growth sectors. We’ve helped ambitious brands grow faster, smarter, and globally.

The Role

As a Data Engineering Graduate, you'll be an integral part of our Data Engineering team. From day one, you'll gain hands-on experience, taking on meaningful responsibility, and making a tangible impact. This role is ideal for someone who likes building things that last and wants to learn how reliable data infrastructure is designed, built and maintained at scale.

Key Responsibilities

  • Pipeline development: you'll help build and maintain the data pipelines that ingest, clean and move data across our systems, learning how reliable data flows are engineered
  • Data integration: you'll support the onboarding of new data sources, writing and testing the logic that brings partner data into our platform cleanly and consistently
  • Transformation and modelling: you'll apply transformations that turn raw data into structured, trustworthy datasets the wider business can use
  • Monitoring and reliability: you'll help keep our ingestion pipelines running, flagging issues early and learning how we maintain the integrity of our data operations
  • Quality assurance: whether it's checking for anomalies or validating schemas and formats, your attention to detail will keep our data trustworthy and actionable
  • Automation and process improvement: you'll help identify and implement ways to streamline and scale our data processes, bringing more automation, speed and accuracy to the team
  • Documentation: you'll capture and update data rules, pipeline logic and key processes to support operational clarity and team knowledge sharing

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.

You'll use your natural curiosity to stay up to date with engineering practices and tools, contributing fresh ideas to the team

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About You

  • Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field (or similar qualification)
  • Some exposure to coding, ideally Python or SQL, through your studies, projects or self-teaching, with a genuine eagerness to deepen it
  • A keen eye for detail and a passion for getting data right, because small errors can make a big difference downstream
  • Comfortable picking up new tools, platforms and technical concepts quickly
  • Proactive and inquisitive, happy to ask questions and figure things out
  • Organised and methodical in how you approach tasks and documentation
  • You thrive when working as part of a team
  • Comfortable in a fast-paced environment
  • Have excellent written and verbal English skills
  • Last but not least, you'll have no ego!

What You’ll Get

  • Private Health Care (Bupa)
  • Hybrid Working (3 days in office)
  • Travel Insurance
  • Competitive Base Salary
  • Company Bonus Scheme
  • Paid for AI Subscription (Claude / ChatGPT / Gemini)
  • Market-Leading Training Programme
  • Recognition & Reward Scheme
  • Annual Company Conference
  • Regular Happy Hours & Team Lunches
  • Free Coffee, Drinks & Snacks
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Skills

Python
SQL
Data Engineering
Data Integration
Data Transformation
Data Modelling
Quality Assurance
Automation
Process Improvement
Documentation
Attention to Detail
Problem Solving
Teamwork
Curiosity
Organizational Skills
Communication Skills

Location

London, England, United Kingdom

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