Graduate Data Engineer

Fospha · London

  • Junior
  • Full-time
  • Posted 2026-09-16
  • Confirmed live on 25 September 2026

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Job description

Fospha is the measurement system enterprise retail and ecommerce brands run their business on. We give marketing teams one clear, daily view of what's actually working — across every channel and everywhere they sell, from their website to Amazon and TikTok Shop — down to the level of a single ad or piece of creative. It replaces guesswork and gut feel with a number marketing, finance and agencies can all trust and act on.

Brands including Dyson, Gymshark, Adanola and Huel use Fospha up to 25 times a day to decide where budget should move next. We've spent over a decade building this, with more than $40 billion in marketing spend now optimised through the platform — and we're scaling fast across London, Mumbai and Austin.

About the role

Fospha's measurement products run on data pipelines that process marketing spend and performance data for brands you'll recognise. You'll get exposure across our core data engineering workstreams: large-scale SQL/dbt transformation pipelines, data ingestion services, and pipelines that turn aggregated data into insights served through APIs. You'll work alongside data engineers, analysts, and AI agents as part of our AI-first operating model, with senior engineers supporting you as you build real ownership.

This role suits a recent graduate (or someone with a strong personal/academic project record) who's curious about data pipelines and wants to learn by shipping real, production code from day one.

What you'll do

• Write and maintain dbt models and SQL as part of our production data engineering pipelines, learning the transformation patterns we build on

• Help build and maintain Python-based data ingestion services, with guidance from senior engineers

• Contribute to pipelines that move data from ingestion through transformation to the APIs that serve it

• Write clean, tested code and get comfortable with code review from both sides — giving and receiving feedback

• Debug data quality issues systematically, learning to trace problems back through the pipeline

• Get exposure to our cloud infrastructure and understand how it supports the pipelines you work on

• Work with AI agents as part of our AI-first operating model, learning to write clear specifications that shape high-quality, AI-assisted engineering work

• Collaborate with data engineers, analysts, and product stakeholders to understand what the data needs to support

The Centre of Excellence

The Centre of Excellence is Fospha's early-careers programme that develops ambitious, high-performing talent through focused training, hands-on experience and cross-functional exposure. Starting in Data Engineering, you'll gain foundational experience while being prepared for future opportunities across the organisation. The programme operates on the following principles:

• Individual Responsibility from the Get-go: You will quickly be responsible for the success of your work, able to make an individual impact early in your career

• Work alongside SLT at Leading Businesses: You will be engaging with Senior Leadership and C-Level executives at the leading retail brands, getting exposure to how the top companies operate

• Cross-Functional Exposure: we offer unique opportunities to learn from and collaborate with every department in the business — many daily

• Comprehensive Training: In addition to the extensive on-the-job learning opportunities, you'll receive a broad and blended in-person training curriculum covering essential topics such as Business Storytelling, Account Management, Market Research & Product and Financial Management

• Real Mentorship: Regular one-to-ones, feedback, and career conversations with people invested in your progression, not just your output

• Career Development: High performers have clear opportunities to quickly advance their careers at Fospha — whether progressing within Data Engineering toward senior technical and/or leadership roles or moving into other departments that align with their skills and interests

• Modern Tools: Hands-on exposure to Gen AI tooling and AI-assisted coding (we use Claude Code day-to-day), so you're building modern, AI-fluent ways of working rather than legacy processes

What we're looking for

Essential

• A relevant degree (Computer Science, Data Engineering, Mathematics, or similar), or equivalent experience through internships/placements/personal projects

• Some experience with SQL and Python

• Genuine curiosity about how data pipelines work end-to-end, not just the code but why the data looks the way it does

• Comfortable being reviewed and iterating quickly on feedback

• Confident asking questions and pushing for clarity rather than staying blocked

Nice to have

• Exposure to dbt or another SQL transformation framework

• Familiarity with Git/GitHub and PR-based workflows

• Some exposure to AWS or another cloud environment

• Experience writing or maintaining automated tests

• Interest in AI-assisted coding tools (we use Claude Code day-to-day

Prepare for the interview

Nothing collected for this employer yet. The Blind 75 is what technical screens draw from; practise it here, with a coach, in Java or Python.

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