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Contract Data Engineer | Reporting Migration & Data Warehouse
Up to £500/day (Outside IR35) | 6 Months | London (3 Days Per Week) | ASAP
We're working with a fintech business undergoing a major reporting transformation and they're looking for a hands-on Data Engineer to support the migration from a legacy reporting platform to a modern Azure/Microsoft Fabric environment.
Details
- Start: ASAP
- Length: 6 Months
- Rate: Up to £500/day
- IR35: Outside IR35
- Location: London (3 days per week)
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.
What You'll Be Doing
- Migrating reporting procedures from legacy systems to a new Foundation data platform.
- Managing schema mapping, transformations, and reporting validation.
- Building and improving ETL pipelines across multiple data sources.
- Designing Fact and Dimension models using Kimball principles.
- Introducing GitHub version control and engineering best practices.


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What We're Looking For
- Strong SQL and Data Engineering background.
- Experience with ETL/ELT pipelines, schema mapping, and data modelling.
- Azure Data Factory, Azure Data Lake, and Power BI experience.
- Exposure to Microsoft Fabric.
- Comfortable working independently in fast-moving environments.
Apply here or email your CV to jordan@wearemoe.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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