Graduate Data Engineer

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

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

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)

Any exposure to marketing, ecommerce, or advertising data

Salary: Competitive + bonus

A £1,000/year flexible benefits allowance to put towards private medical insurance, dental cover, a health cash plan, gym membership, extra holiday, or a pension top-up — whatever suits you

Access to Wellhub, giving you one membership across gyms, boutique studios, and wellbeing apps

25 days' annual leave plus 8 UK bank holidays, an extra day off for your birthday, and more holiday the longer you stay (26 days after 3 years, 27 after 6)

Regular socials, free weekly snacks, and Lunch & Learn events at our Scale Space office, plus access to the wider Blenheim Chalcot community

Opportunities to travel — including to our India and North America offices

Life assurance worth 4x your annual salary

Real production impact from day one. The pipelines you help build feed measurement products used to make real budget decisions.

A published career framework. No guessing what the next level requires or when you'll get there.

A team that reviews each other's work properly. Code review from people who care about getting the data right.

An AI-first operating model where lean, high-autonomy teams ship fast and learn faster — with structured mentorship from senior engineers as you build that fluency yourself.

You will be able to demonstrate examples of our core principles:

Seek inclusion & diversity: We create an environment where everyone feels welcome, and people are encouraged to speak and be heard

Work Hard, Work Well, Work Together: We take responsibility for making things happen, independently and together; we help colleagues in need and close loops, making sure our work is complete and has lasting impact

Grow: We are proactive, curious and unafraid of failure

Customer at the heart: We care about the customer, feel their pain and love building product that solves their biggest problems

Candour with caring: We deliver candid feedback with kindness and receive it with gratitude

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