Harnham
Data Engineer (Medical Imaging)

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Senior Data Engineer
£650 - £750 per day including agency fees London | Hybrid
This is an opportunity to work on a high-impact data engineering project at the intersection of AI, machine learning, and large-scale data platforms. You will help build and enhance critical data products that support advanced analytics and scientific innovation, using modern cloud technologies and engineering best practices.
The Company
They are a global organisation investing heavily in data, AI, and machine learning to drive innovation across complex scientific and business challenges. Their teams combine strong engineering practices with cutting-edge technology to deliver scalable, data-driven solutions. You will join a collaborative environment where data engineering plays a central role in enabling future-facing AI initiatives.
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.
The Role and Deliverables
- Build, operate, and automate scalable data pipelines handling large and complex datasets.
- Design data storage, transfer, and transformation processes within a cloud-based environment.
- Develop automated ingestion, validation, harmonisation, and quality control workflows.
- Deliver analysis-ready datasets for machine learning, analytics, and wider technical teams.
- Write production-grade Python code that is tested, documented, and maintainable.
- Collaborate with software engineers, machine learning engineers, and domain specialists to solve complex data challenges.
Your Skills & Experience
- Strong experience using Python for data engineering and data transformation.
- Strong SQL skills, including data modelling and schema design.
- Experience building and maintaining ETL or ELT pipelines using orchestration frameworks.
- Experience working with large-scale datasets stored in cloud platforms such as GCP, AWS, or Azure.
- Experience with CI/CD, DevOps practices, and modern software development methodologies.
- Ability to work independently, manage ambiguity, and make sound technical decisions.
- Experience with BigQuery, Google Cloud, medical imaging data, DICOM, or AI-enabled development workflows would be advantageous.


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How to Apply
If you are interested in this Senior Data Engineer contract opportunity and would like to work on a highly visible data and AI programme, please apply today.
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