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Mayfair - 2 days/week on site - 6 months initial, strong likelihood of extension - up to £600/day (outside IR35)
First data hire for a lean, fast-growing professional services firm built for an AI-enabled world. You'll work directly with the engineering lead to build and harden a Databricks lakehouse from scratch, and set the standards as the platform scales.
What you'll do
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.
- Build ingestion pipelines into the Databricks lakehouse
- Model data through medallion layers in Delta Lake
- Build reconciliation and data quality checks into pipelines
- Set up governance via Unity Catalog
- Harden pipelines for production
What you'll bring
- Deep, hands-on Databricks experience: Delta Lake, PySpark, Spark SQL, Unity Catalog
- Strong Python and production experience on a major cloud
- Comfortable owning workstreams end to end with minimal oversight
- Clear communicator, commercially aware


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Nice to have
- Databricks AI/ML stack (MLflow, Vector Search, Mosaic AI)
- RAG or LLM-powered extraction experience
Interested, or know someone who would be? Click apply or get in touch directly mgojzewski@trg-uk.com
“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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