TRIA
Data Engineer

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Data Engineer
Hybrid: Central Bristol office (3 days per week) £55,000–£70,000 | + Bonus | Industry Leading Benefits
We're excited to be recruiting exclusively for a Data Engineer to join an industry leading SaaS group within a global data driven organisation. So, think fast moving, big budget, heaps of autonomy, and a breakaway type culture that is committed to pushing technical boundaries. But, all without the red tape and sluggish pace.
The Headlines
A hands-on Engineering role focused on building scalable, high-quality Data Pipelines, where you'll be given real ownership, exposure to experienced director level mentors & Senior Data Engineers, alongside the opportunity to grow towards senior-level responsibilities.
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.
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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.
Tech Stack
- Spark
- Airflow
- Kubernetes
- Azure
- CubeJS
What You'll Be Doing
- Data Pipeline Development – designing & developing efficient, scalable & robust Data Pipelines
- Support and maintain the data platform to ensure security, reliability, and scalability.
- Working with the wider engineering team to gather pipeline requirements, project goals & deliver insights where applicable.
- Collaborating with engineers, product teams, and customer-facing stakeholders


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What We're Looking For
- 3–7 years' commercial Data Engineering experience
- Excellent understanding of data modelling principles and data warehousing concepts.
Ultimately, this is a chance to join a well established & talented Data Engineering team in a role where Data is very much front and centre of the group's platform.
Please apply with an up-to-date CV.
“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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