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Data Engineer

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Data Engineer - Azure, Databricks, PySpark
2x days on site in Central London
6 months contract
£600-£700 per day (Inside IR35)
1st September start date
I'm looking for a hands-on Data Engineer to help build and scale a modern Azure data platform.
This is an 80% engineering / 20% modelling role focused on extracting data from external systems and APIs, loading it into Azure, and delivering high-quality datasets to the BI team for reporting and analytics. A key part of the role will involve integrating data from platforms such as Monday.com, alongside other cloud and VNet-hosted data sources.
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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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 be doing
- Building and maintaining scalable ELT pipelines
- Integrating data from external APIs and business systems
- Transforming and preparing data for reporting and analytics
- Delivering trusted datasets to Power BI and BI teams
- Working across Azure-based and secure VNet environments
- Supporting data modelling and platform improvements
Tech Stack
- Experience of working with the following are must haves:
- Azure
- Python
- PySpark
- Databricks
- Power BI
- Nice to Have - experience of working with:
- Microsoft Fabric
- D365 Supply Chain Management


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You'll be a strong Data Engineer with experience building cloud-based ELT solutions, integrating external data sources, and working closely with reporting and analytics teams.
If you enjoy solving data integration challenges and want to work with a modern Microsoft data stack, we'd love to hear from you.
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