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Harnham

Analytics Engineer

London
£70k – £80k/yr
Posted about 21 hours ago
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Analytics Engineer

London/Hybrid
Up to £80,000

The Overview

If you're an Analytics Engineer who enjoys working across the full data lifecycle, this is an opportunity to make a genuine impact within a fast-growing digital business. You'll play a key role in shaping data strategy, building scalable data solutions, and enabling stakeholders to make informed decisions through high-quality analytics.

The Company

This organisation is a rapidly growing consumer-focused business with an ambitious expansion roadmap and a strong commitment to data-driven decision-making. They operate in a fast-paced environment where data is central to product development, commercial performance, and customer experience. With a modern cloud-based technology stack and a collaborative culture, they offer the opportunity to work on high-impact projects with visible business outcomes. You will join a growing data function where innovation, ownership, and continuous improvement are highly valued.

The Role

You will work across analytics engineering, data engineering, and business intelligence, helping to build and optimise the company's data platform.

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.

Start with a chat, not a search bar

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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 include:

  • Design, build, and maintain end-to-end data pipelines from source systems through to business-ready datasets
  • Develop scalable and well-documented data models using dbt and Google BigQuery
  • Build and maintain Python-based data ingestion and automation processes
  • Create dashboards, KPI reporting, and self-service analytics solutions using BI tools
  • Partner with product, engineering, marketing, and commercial teams to deliver data-driven solutions
  • Ensure data quality, testing, and governance standards are maintained across the data platform
  • Identify opportunities to improve performance, scalability, and efficiency across data workflows
  • Translate business requirements into robust analytical solutions that support growth and decision-making

Your Skills & Experience

  • Strong commercial experience as an Analytics Engineer, Data Engineer, Analytics Consultant, or similar data-focused role
  • Advanced SQL skills with experience building analytical data models
  • Hands-on experience with Google Cloud Platform, particularly BigQuery
  • Strong experience using dbt for data transformation, testing, and documentation
  • Proficiency in Python for data ingestion, automation, and pipeline development
  • Experience developing dashboards and reporting solutions within modern BI platforms
  • Knowledge of Git, version control, and data engineering best practices
  • Strong stakeholder management and communication skills
  • Comfortable working in a fast-moving environment and taking ownership of projects from end to end

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What They Offer

  • Salary of £60,000 to £80,000 depending on experience
  • Hybrid working model with flexibility built into the week
  • Opportunity to work with a modern cloud data stack
  • Significant ownership and exposure across the entire data lifecycle
  • Direct collaboration with experienced data leadership
  • Clear opportunities for career progression as the data function grows
  • Supportive and collaborative working environment

How to Apply

To find out more about this Analytics Engineer opportunity or to discuss similar Data & Analytics roles, please apply with your CV today.

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Location

London, England, United Kingdom

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