Harnham
Data Engineer

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Data Engineer
up to £55,000 + Benefits Remote (UK)
This is a fantastic opportunity to join a high-growth technology business where you can take ownership of building and optimising modern data pipelines while developing into a key member of a growing data team.
THE COMPANY
Our client is an innovative technology business operating at the intersection of mobile applications, hardware products, and AI-powered data solutions. With a global, remote-first workforce and ambitious growth plans, they are investing heavily in their data platform to support the next phase of expansion.
The organisation has built a modern data ecosystem that powers business-critical decision-making, advanced analytics, and emerging AI capabilities. This is an excellent opportunity to join a collaborative team where your work will have visible impact across the business.
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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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.
THE ROLE
You will take ownership of building, improving, and maintaining data pipelines within a modern AWS-based data platform. Working closely with experienced data engineering and cloud architecture professionals, you will gain exposure to the full data lifecycle while developing your technical expertise.
Key responsibilities include:
- Designing and developing data ingestion pipelines from product and third-party sources into a modern cloud data platform.
- Monitoring, troubleshooting, and optimising data pipelines and scheduled workloads.
- Building and maintaining data models using dbt to support analytics and reporting requirements.
- Supporting the development of AI-driven data products and semantic layers.
- Creating trusted datasets and business-facing data assets to support company-wide decision making.


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YOUR SKILLS AND EXPERIENCE
You will bring strong capability in:
- Python development.
- Advanced SQL.
- Building and maintaining data pipelines.
- Data modelling and warehousing fundamentals.
- dbt or similar modern transformation frameworks.
- Experience with AWS data services.
- Exposure to Kafka, Spark, streaming data, or modern BI tools.
- Interest in AI, analytics engineering, and data products.
THE BENEFITS
You will receive a salary of up to £5,000 depending on experience, along with a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV to Molly Bird via the apply link on this page.
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