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Location
In office (Weybridge, London)
Visa
Licensed UK visa sponsor
Employment
Full-Time

Confirmed on the employer's own hiring board on Nov 13, 2026. First seen by Alion on Nov 13, 2026. Procter & Gamble scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Procter & Gamble is an American consumer goods company founded in Cincinnati in 1837 by a candle maker and a soap maker who had married into the same family. It concentrates on a small number of very large brands across fabric and home care, baby and feminine care, family care, grooming, oral care, personal health and beauty, including Tide, Pampers, Gillette, Oral-B, Head & Shoulders and Olay. Listed on the New York Stock Exchange and a component of the Dow Jones Industrial Average, it is one of the largest advertisers in the world and has repeatedly pruned its portfolio to focus on category-leading brands.

Job Location

Weybridge

Job Description

Ready to make an impact on globally renowned brands like Gillette, Pampers, Head & Shoulders and Oral-B? Join our data engineering team at P&G, where business, innovation and technology come together to create a competitive advantage. This role is for a curious, practical problem-solver who wants to learn fast, build things that work and make a visible impact.

As a Data Engineer, you will pioneer the application of technology to the solution of business problems by partnering closely with business teams to deeply understand their core challenges and strategic goals. Your primary focus will be on designing and building intelligent systems that can reason, plan, and execute tasks with a high degree of autonomy. This innovation focused role requires you to translate business needs into novel agentic solutions, taking responsibility for the full development lifecycle from rapid prototyping to building robust, scalable solutions.

What You Can Expect:

  • Collaborate directly with business stakeholders to identify, understand, and define high-impact opportunities for the application of technology.
  • Lead the conceptualization and rapid prototyping of AI-based proof of concepts; demonstrate value, fail fast.
  • Architect and build intelligent production solutions to identified opportunities utilising the optimal data engineering tool-set; with a focus on Agentic AI.
  • Own the full product development lifecycle, ensuring the final systems are robust, scalable, and align with governance frameworks.
  • Architect, build, and maintain scalable data pipelines. This includes integrating with existing data sources and applying software engineering practices to ensure data reliability, security and quality.
  • Collaborate with Cloud/Infrastructure teams to provision and configure the necessary environments development, including cloud resources, container orchestration platforms, and databases.
  • Develop and maintain robust, automated data pipelines that feed real-time and batch data to AI agents for reasoning and tool use, ensuring data quality and reliability.
  • Implement and manage CI/CD pipelines using tools like GitHub Actions to automate the testing, containerization, and deployment of AI agents, data pipelines, and infrastructure as code.
  • Package and deploy AI agents as scalable and secure microservices using containers (Docker) and API frameworks (e.g., FastAPI, Flask), ensuring they can be integrated into broader business systems.
  • Develop user interfaces and interactive demos for key stakeholders.
  • Implement comprehensive monitoring to track agent performance, decision accuracy, tool usage, and resource consumption, creating automated alerts and evaluation frameworks.
  • Work directly with business units to integrate agent-driven capabilities into their workflows and applications, helping to measure and communicate the resulting business impact.

What We Offer You:

  • Meaningful work from Day 1: You'll be working on some of the UK's best loved brands, with the space and opportunity to bring your experience, energy and new perspectives and make a genuine impact right from the start.
  • Continuous development: At P&G we offer a career, not just a job. You'll be empowered to become the best at what you do through continuous learning, day-to-day coaching from your manager, a varied career path and the chance to work alongside inspiring people.
  • Empowering culture: You'll collaborate on impactful projects in a supportive environment where our company values are embraced and diversity is celebrated.
  • Competitive benefits: P&G takes a Total Rewards approach. On top of your competitive salary of £45,000, which is reviewed annually, you can expect a double-matched pension scheme, private health insurance, participation in a stock ownership scheme, 25 days holiday and your very own 'Flex4Me' Fund, which lets you allocate a portion of your benefits package to the areas that matter most to you.

Job Qualifications

What We Look For:

  • You have a Bachelor's or Master's degree in a quantitative field such as Computer Science, Engineering, Maths, Statistics, Operations Research or Analytics.
  • You have an experimental, iterative approach and are excited by the challenge of pioneering new solutions in ambiguous environments. A deep curiosity for autonomous AI and its practical application would be particularly useful.
  • Excellent communication and collaboration skills, with a proven ability to partner with non-technical stakeholders, understand business challenges, and translate them into technical requirements.
  • A proactive, self-motivated attitude with strong analytical and problem-solving skills.
  • Fluency in English (written and oral).

Technical experience (foundational experience in several of these is enough):

  • Strong proficiency in Python
  • Solid understanding of software engineering best practices, automated testing, and writing clean, maintainable code.
  • Experience with SQL for complex data querying and manipulation.
  • Demonstrable experience/understanding of Large Language Models (LLMs) and ideally familiarity with agentic frameworks and libraries
  • Hands-on experience building and orchestrating data pipelines
  • Practical knowledge of CI/CD automation, specifically using GitHub Actions, to build, test, and deploy code and infrastructure.
  • Experience with containerization (Docker) and deploying applications as APIs using frameworks like FastAPI or Flask.
  • Familiarity with Azure

Note: We have immediate availability for this role, so we encourage you to apply if you are able to start as soon as possible. We may close the role early if positions are filled.

Right to Work:

For our entry level technical roles such as this one, you will need a continuous, or temporary right to work in the UK. If your current right to work is temporary, or linked to another sponsor, P&G are willing to provide sponsorship from the end of your current permission, subject to meeting all the necessary Home Office requirements. Full details on visa restrictions can be found on the Home Office website and immigration rules are subject to change.

P&G is legally required to ensure all candidates have the right to work in the UK from Day 1 of their employment. All applicants will therefore be asked to provide evidence of their right to work at the conclusion of the recruitment process as a condition of employment.

At P&G #weseeequal

We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.

We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment. We thank you in advance for your patience.

Job Schedule

Full time

Job Number

R000162789

Job Segmentation

Entry Level

Starting Pay / Salary Range

£45,000.00 / year
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