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My client is a consultancy founded by scientists with research backgrounds from Cambridge.
They work the way scientists do: rigorously, from first principles, on complex data problems in regulated, high-stakes environments such as financial services, higher education, healthcare, banking, insurance, and life sciences.
To support our growth they are looking to bring in data engineers for specific client projects. If you bring a scientific or research methodology to your engineering, even better — that's how they think, and how we build.
You'll deliver real, production data engineering work for our clients: building ETL pipelines and robust data models to support data warehouse, lakehouse, and reporting solutions on Azure.
This is a project-based, fully remote, independent contract role, suited to someone who delivers to a high standard and shares our passion for data.
Key Responsibilities:
- Design, build, and maintain ETL/ELT pipelines for client projects
- Develop robust, scalable data models to support data warehouse and lakehouse architectures
- Build and support reporting solutions on Azure
- Apply rigorous, methodical, research-grade thinking to data engineering problems
- Work within regulated, high-stakes environments (e.g. financial services, healthcare, insurance, life sciences, higher education) — with appropriate attention to data quality, governance, and compliance
- Collaborate remotely with consultancy team members and client stakeholders
- Deliver high-quality, production-ready outputs independently and to deadline
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.
Essential Requirements:
- Proven experience delivering production data engineering work (ETL pipelines, data modelling, data warehouse/lakehouse builds)
- Strong hands-on experience with Microsoft Azure data services
- Experience working on complex data problems, ideally within regulated or high-stakes industries
- Ability to work independently and remotely, managing your own delivery to a high standard
- Strong analytical, first-principles approach to problem-solving
- Excellent communication skills, comfortable working directly with client stakeholders


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Desirable
- A scientific, research, or academic background, or a research-driven approach to engineering
- Appreciation of, or hands-on experience with, Microsoft Fabric and its ecosystem
- Prior experience in a consultancy or client-facing project environment
- Experience across multiple regulated sectors (financial services, healthcare, insurance, life sciences, higher education, banking)
Contract Details
- Role type: Project-based, independent contractor
- Working pattern: Fully remote
- Day rate: £300 per day
- Engagement: Ongoing pipeline of client projects (assignment-based)
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