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Who is Quantium?
Quantium is a world leader in data science and artificial intelligence. Established in Australia in 2002, Quantium is a global team of more than 1,200 people across 14 locations with a unique blend of capabilities across product and consulting services to help businesses unlock value from data and analytics. Quantium partners with the world's largest corporations to forge a better, more intelligent world.
Our Technology & Delivery team builds the engineering foundations that make analytics and AI-driven decision making possible - from robust data pipelines to cloud-native platforms deployed for some of the UK's most prominent organisations.
We are looking for a curious and motivated Data Engineer to join our growing team in Manchester. This is an excellent opportunity for someone early in their engineering career who is passionate about data and eager to develop their skills in a fast-paced, commercially driven environment. Working alongside experienced engineers, consultants and analysts, you will gain hands-on exposure to modern data engineering practices across cloud platforms and a range of real-world client challenges.
How will you make an impact?
Pipeline development: Design, build and maintain data pipelines that ingest, transform and deliver data across client environments, contributing to the engineering foundations that power analytics and AI applications Data architecture: Contribute to the design and documentation of data models, schemas and architecture decisions that ensure data is well-structured, accessible and ready to support intelligent systems Quality and reliability: Participate in code reviews, support pipeline monitoring and proactively escalate issues - helping the team deliver consistently high-quality outputs for our clients Collaborative working: Partner with data scientists, analysts and consulting teams to understand requirements and deliver against agreed outcomes, contributing actively to Agile ceremonies
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.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour 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.
See breakdownIt 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.
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.
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.
The superpowers you'll be bringing to the team
Technical foundation: Around 1–2 years of commercial experience in data engineering or a closely related discipline, or equivalent demonstrated through academic projects or internships Python and SQL: Exposure to Python and SQL and ability to write clean, well-tested code in a production context Data concepts: Foundational understanding of databases, data structures, data flows and transformation logic Cloud awareness: Some exposure to cloud platforms (AWS, Azure or GCP), or the eagerness to develop this knowledge quickly Engineering practices: Awareness of version control using Git and a willingness to engage with software development best practices Problem solver: Strong attention to detail and a natural curiosity for working through technical challenges Collaborator: Effective communicator who can work well within a team, including with non-technical stakeholders Academic background: Degree in Computer Science, Engineering, Mathematics, Statistics or a related field AI exposure: Experience with modern AI and machine learning concepts, including large language models (LLMs) or agentic systems, is advantageous
Remember - you might not tick all the boxes, but don't let that stop you applying. We're more interested in how you work, your curiosity and your eagerness to grow.


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What could your Quantium Experience look like?
Working at Quantium will allow you to challenge your imagination. You will get to solve complex problems using rigour, precision and by asking great questions - but it also means you can think big, outside the box and push your problem-solving skills to the max.
By Joining The Quantium Team, You'll Get To
Forge your path: So many of our team have moved around different teams or offices. You'll be in the driver's seat, and we empower you to make your career your own. Find your kind: Embrace diversity and connect with your tribe (think foodies, dog lovers, readers, or runners). Make an impact: Leave your mark. Your contributions resonate, regardless of your role or rank.
On top of the Quantium Experience, you will enjoy a range of great benefits. Some of these include:
Private medical insurance: Convenient access to medical treatments without the hassle of waiting lists - swift, personalised care when you need it. Flexible work arrangements: Achieve work-life balance at your own pace with hybrid and flexible working options. Remote working: Embrace the opportunity to work outside of your assigned home location for up to 1 month every year.
Quantium’s recruitment process involves the collection and use of personal information, see our Candidate Data Collection Notice for more information. This provides information on how we collect, use & store your personal information, including potential disclosure to our majority shareholder, Woolworths Group Limited.
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