Harnham
Analytics Engineer

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Analytics Engineer
London (Hybrid) | Up to £80,000
A fantastic opportunity to join a growing digital business where data plays a key role in driving commercial and product decisions. This position offers end-to-end ownership across analytics, engineering, and BI within a modern cloud environment.
The Company
A fast-scaling, customer-focused organisation investing heavily in its data platform. You'll join a collaborative team with plenty of opportunity to influence data strategy and deliver real business impact.
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.
The Role
- Build and maintain end-to-end data pipelines
- Develop scalable data models using dbt and BigQuery
- Create Python-based ingestion and automation processes
- Build dashboards and reporting solutions for business stakeholders
- Partner with product, engineering, marketing, and commercial teams
- Improve data quality, performance, and scalability across the platform
Your Skills & Experience
- Strong experience in Analytics Engineering or Data Engineering
- Hands-on experience with GCP, particularly BigQuery
- Strong dbt, SQL, and Python skills
- Experience building BI dashboards and reporting solutions
- Familiarity with Git and modern development practices
- Strong communication and stakeholder management skills


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What They Offer
- Salary up to £80,000
- Hybrid working
- Modern cloud-based data stack
- High level of ownership and autonomy
- Excellent progression opportunities
Please note that sponsorship is not available for this position.
How to Apply
Apply now!
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