Harnham
Data Engineer

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Data Engineer
Location: London - 4-5 Days per Week in Office
Salary: £70,000-£90,000 + Equity + Benefits
We're working with a rapidly growing, YC-backed healthcare AI startup building a market-leading data platform used by pharmaceutical, biotech and healthcare organisations.
The Opportunity
This is not a role where you'll maintain legacy pipelines or work on a small corner of an established platform. The team is specifically looking for engineers who have experience taking products, platforms or major features from 0-1.
You should be able to demonstrate that you've:
- Built something from scratch rather than simply maintained existing systems
- Worked through ambiguity with limited requirements
- Designed architecture and made key technical decisions
- Owned delivery from idea through to production
- Worked closely with product teams, users or founders to shape solutions
- Shipped products that generated real business value
The successful candidate will help build and scale the core data infrastructure powering the company's platform, taking ownership of projects from raw data acquisition all the way through to production-ready products.
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.
See breakdownIt searches the market for you
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 scalable ETL/ELT pipelines using Python and SQL
- Designing and developing data ingestion frameworks
- Working with large, complex and often messy datasets
- Leveraging AI and LLM technologies for extraction, classification and enrichment
- Building data products that directly support customers
- Designing schemas, entity resolution and data quality processes
- Collaborating closely with engineering, product and leadership teams
- Taking projects from concept through to production deployment
What We're Looking For
Essential
- Strong Python and SQL skills
- Experience building production-grade data pipelines
- Proven ownership of end-to-end engineering projects
- Experience building products, platforms or major capabilities from 0-1
- Ability to operate independently in a fast-moving environment
- Strong problem-solving skills and technical foundations


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Highly Desirable
- Startup or scale-up experience
- Experience working directly with founders or product teams
- LLMs, AI tooling or prompt engineering exposure
- Data acquisition, scraping or ingestion experience
- Snowflake, Databricks or modern cloud data platforms
- Experience turning technical outputs into customer-facing products
The Person
We're looking for someone who enjoys building rather than maintaining.
You'll thrive here if you get energy from starting with a problem, designing a solution and seeing it through to production. The ideal candidate will have a track record of operating in environments where ownership is high, processes are light, and shipping quickly matters. Years of experience are less important than evidence of what you've actually built.
Package
- £70,000-£90,000 base salary
- Opportunity to join a high-growth, YC-backed startup
- Significant ownership and autonomy
- Chance to help shape the future of a data-first AI product
- 4-5 days per week in the London office
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