Harnham
Analytics Engineer

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Analytics Engineer
Salary: Up to £80,000
Location: London /Hybrid
The Overview
Looking for a role where you can own the full data lifecycle and directly influence business growth? This is an opportunity to join a fast-scaling digital business at a pivotal stage of its expansion, working across analytics engineering, data engineering, BI, and commercial analytics in a highly autonomous environment.
The Company
This growing consumer-focused technology business operates a subscription-based digital platform and is expanding internationally following significant recent success. With a strong product roadmap and new offerings launching across multiple markets, data sits at the heart of strategic decision-making. They are investing heavily in their data capabilities and building a scalable, modern data platform to support future growth. You will work closely with senior leadership in a collaborative, fast-paced environment where your work will have visible impact.
The Role
As an Analytics Engineer, you will work closely with the Head of Data and take ownership of key areas of the data ecosystem.
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.
Responsibilities
- Building and maintaining end-to-end data pipelines from multiple source systems.
- Developing scalable data models using SQL, dbt, and BigQuery.
- Creating and managing data ingestion workflows using Python and APIs.
- Designing dashboards, KPI reporting, and self-service analytics solutions in Looker, Data Studio, or similar BI tools.
- Collaborating with engineering, product, marketing, and commercial teams to deliver data-driven solutions.
- Improving data quality, governance, and platform scalability.
- Supporting business growth initiatives through analytics and insight generation.
- Contributing to the development of a modern cloud-based data platform.
Your Skills & Experience
- Strong commercial experience with SQL and data modelling.
- Hands-on experience with Google Cloud Platform, particularly BigQuery.
- Proven expertise using dbt to build and maintain analytics models.
- Python experience for data ingestion, automation, and pipeline development.
- Experience creating dashboards and reporting solutions using Looker, Data Studio, Metabase, or similar BI tools.
- Familiarity with Git version control and CI/CD principles.
- The ability to work independently and thrive in a scaling, fast-moving environment.
- Strong communication skills with both technical and non-technical stakeholders.


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What They Offer
- Salary up to £80,000.
- Equity participation after qualifying period.
- Pension and healthcare-related benefits.
- Hybrid working model with three office days per week.
- Direct exposure to senior leadership and strategic decision-making.
- Significant ownership across data engineering, analytics engineering, BI, and business analytics.
- Opportunity to shape a growing data platform during a major period of international expansion.
- Excellent scope for long-term career development as the business scales.
How to Apply
If you're an Analytics Engineer who enjoys combining technical delivery with commercial impact and wants to help shape a growing data function, apply today to learn more about this opportunity.
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