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Platform Engineer (Data) Build and scale the platforms powering data at enterprise level
We’re hiring a Platform Engineer to design, build, and operate scalable data platforms that underpin critical analytics and data services. This is a hands‑on role focused on performance, reliability, and continuous improvement of complex data infrastructure.
🔍 Why this role? You’ll work at the core of the data ecosystem — enabling data scientists, analysts, and applications to operate on robust, production‑grade platforms.
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.
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.
⚙️ What you’ll do Build and maintain scalable, secure data platforms Develop and optimise data pipelines and services Ensure high availability, performance, and reliability Collaborate with data and engineering teams Troubleshoot complex infrastructure and data issues Drive improvements using modern data and platform technologies
✅ What you’ll bring Strong experience in platform engineering (Linux environments) Knowledge of data platforms, lakes, and governance principles Experience with containerisation (Docker, Kubernetes) Scripting skills (Python, Bash) for automation Understanding of security and infrastructure best practices 💡 Nice to have: CI/CD, Airflow/NiFi, Elasticsearch, or Hadoop ecosystem experience


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👉 If you enjoy building the infrastructure that makes data work at scale — apply now.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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