Mirus
Data Engineer

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Contract Date Engineer
MUST BE UK BASED
Outside IR35
£535pd
We're looking for a hands-on Data Engineer to help build the data platforms behind a set of marketing and sustainability analytics products.
You'll build the pipelines that bring data in from APIs and internal sources, turn it into clean, trusted datasets, and get it into the hands of internal teams and clients through tools like Power BI and Tableau. You'll own well-defined parts of the platform and work closely with senior engineers on the bigger architecture decisions.
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.
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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.
What you'll be doing
- Building and running data pipelines on Azure and Databricks
- Writing transformation logic in PySpark and SQL
- Scheduling, monitoring and fixing pipelines when things break
- Helping keep multi-tenant data secure and properly governed (Unity Catalog)
- Working with product and engineering on new platform features
- Joining an on-call rotation for production pipelines
What we're looking for


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- 5+ years as a Data Engineer on production pipelines
- Strong PySpark and SQL
- Azure and Databricks experience, ideally including Unity Catalog
- Experience feeding BI tools like Power BI or Tableau
- Solid engineering habits: Git, CI/CD, testing, code review
- Comfortable working with non-technical and client-facing teams
Nice to have: Airflow, Kubernetes/AKS, Okta or Entra ID, or any exposure to ESG / carbon data.
Interested? Drop me a message or apply below.
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