Graduate Data Engineer

Quantum; Greater London; Hybrid; GBP 30,000 - 38,000; Full time

Benefits offered by this job

Private Health Care (Bupa)

Hybrid Working (3 days in office)

Travel Insurance

Competitive Base Salary

Company Bonus Scheme

Paid for AI Subscription (Claude /Chat

Gemini)

Market-Leading Training Programme

Recognition & Reward Scheme

Annual Company Conference

Regular Happy Hours & Team Lunches

Free Coffee, Drinks & Snacks

Job summary

Quantum is seeking a Data Engineering Graduate to join its Data Engineering team. From day one, you will gain hands-on experience, taking meaningful responsibility and making a tangible impact in building reliable data infrastructure at scale.

You will help develop data pipelines, onboard new data sources, and apply transformations to create trustworthy datasets for the wider business. The role is hybrid, with in-office days to collaborate with the team.

Qualifications

• Bachelor's degree in computer science, software engineering, data science, mathematics, or a related field (or similar qualification)

Responsibilities

• Pipeline development: build and maintain data pipelines that ingest, clean and move data across systems
• Data integration: onboard new data sources, write and test logic to bring partner data into the platform
• Transformation and modelling: apply transformations turning raw data into structured datasets
• Monitoring and reliability: keep ingestion pipelines running and flag issues
• Quality assurance: check for anomalies and validate schemas/formats
• Automation and process improvement: identify and implement ways to streamline data processes
• Documentation: capture and update data rules, pipeline logic and key processes
• Stay up to date with engineering practices and tools, contributing fresh ideas

Skills

Attention to detail

English writing

Teamwork

Proactive learning

Problem solving

Curiosity

Education

Bachelor's degree in CS, software eng, data science or related field

Tools

SQL

Python

Job description

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

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

What's the next step?

Our hiring process ensures we're recruiting the right people for the role. We ensure that people are as suitable for us as we are for them.