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DataBricks Engineer
You must have:
- At least 2 years of commercial Databricks experience (current)
- Strong AWS Skills
- Be able to work 2 days a week onsite in Central London
- Ideally have worked on a large scale DataBricks migration project previously
- Strong understanding of Medallion Architecture
- DataBricks certification would be welcome but we prefer hands on experience over theoretical
The Role
Red Badger is looking for a DataBricks Engineer to join our Data & AI practice. This is a delivery-focused role: you'll work directly with clients and Red Badger consultants, from all the cross functional disciplines, to shape complex technical solutions as an output from discovery phase, and then lead a team of data engineers to build the solution through to production.
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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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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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.
You'll work closely with the Director, Data & AI, and partner on pre-sales and proposals to add technical credibility and deepen our client partnerships.
You love solving complex problems, and customer value is your north star. You are comfortable consulting with technology stakeholders outside of your team. You are a technology polyglot, and an evangelist for agile ways of working.


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Day to day, you will spend roughly half of your time hands on, pairing with data engineers on the team, and helping them pick the right design to solve the problem. In the other half, you’ll be supporting the other functions (delivery, product, software engineering) and our clients with decisions impacted by the technical strategy of the project and providing support and line management to data engineers on your team.
“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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