Data Engineer Jobs at Procter & Gamble (P&G) – Weybridge, UK
Are you looking to build a career in data engineering, artificial intelligence and advanced technology? Procter & Gamble (P&G) is offering an exciting opportunity for a Data Engineer to join its technology team in Weybridge, United Kingdom.
This entry-level technical position offers an annual starting salary of £45,000 and the opportunity to work with globally recognised brands, including Gillette, Pampers, Head & Shoulders and Oral-B.
The successful candidate will work on innovative technology projects involving Agentic AI, large language models (LLMs), automated data pipelines and cloud-based systems. This position is particularly suitable for graduates and early-career professionals with a strong interest in Python, data engineering and artificial intelligence.
Job Overview
- Job Title: Data Engineer
- Company: Procter & Gamble (P&G)
- Salary: £45,000 per year
- Location: Weybridge, United Kingdom
- Job Type: Full-Time
- Job Level: Entry Level
- Job Number: R000162789
- Starting Salary: £45,000 annually
- Visa Sponsorship: Available subject to eligibility and Home Office requirements
- Start Date: Immediate availability preferred
About the Data Engineer Position
P&G is looking for a curious and motivated Data Engineer who wants to make a meaningful contribution to business innovation through technology. The successful applicant will work closely with business stakeholders to identify challenges and develop intelligent technology solutions.
A major focus of this position is Agentic AI, which involves developing intelligent systems capable of reasoning, planning and carrying out tasks with a high degree of autonomy.
You will be involved in the complete development process, from testing new ideas and creating prototypes to developing secure, reliable and scalable production systems.
This is an opportunity to gain practical experience working at the intersection of business, artificial intelligence, software engineering and data technology.
Main Responsibilities
As a Data Engineer at P&G, your responsibilities will include:
- Working with business stakeholders to identify opportunities where technology can solve important business problems.
- Designing and developing AI-based proof-of-concept solutions and prototypes.
- Building intelligent production systems with a focus on Agentic AI.
- Managing the complete development lifecycle, from initial ideas to deployment.
- Designing and maintaining scalable data pipelines and integrating different data sources.
- Working with cloud and infrastructure teams to configure development environments.
- Developing automated data pipelines for real-time and batch processing.
- Implementing CI/CD workflows using GitHub Actions.
- Deploying AI agents as secure and scalable microservices using Docker.
- Developing APIs using frameworks such as FastAPI and Flask.
- Creating interactive demonstrations and user interfaces for business stakeholders.
- Monitoring AI agent performance, accuracy, resource usage and system reliability.
- Integrating AI-powered solutions into existing business applications and workflows.
Essential Qualifications
Candidates should have a Bachelor's or Master's degree in a relevant quantitative or technical subject, such as:
- Computer Science
- Engineering
- Mathematics
- Statistics
- Operations Research
- Analytics or a related discipline
Applicants should also demonstrate strong analytical thinking, curiosity about emerging technologies and the ability to work effectively with both technical and non-technical teams.
Technical Skills and Experience
P&G is looking for candidates with foundational experience across several relevant technologies. Applicants do not necessarily need to be experts in every listed area.
- Python: Strong programming knowledge and the ability to write clean, maintainable code.
- SQL: Experience with data querying, manipulation and complex database operations.
- Artificial Intelligence: Understanding of Large Language Models (LLMs) and an interest in autonomous AI systems.
- Agentic AI: Familiarity with frameworks and libraries used to build AI agents is beneficial.
- Data Engineering: Practical experience building and managing automated data pipelines.
- CI/CD: Knowledge of automated development and deployment workflows, particularly GitHub Actions.
- Docker: Understanding of containerisation and application deployment.
- FastAPI or Flask: Experience developing applications and APIs.
- Microsoft Azure: Familiarity with cloud infrastructure and services.
Excellent written and spoken English communication skills are also required.
Salary and Employee Benefits
P&G offers a competitive starting salary of £45,000 per year, alongside a comprehensive employee benefits package.
Benefits include:
- Annual salary reviews.
- Double-matched pension scheme.
- Private health insurance.
- Participation in the company stock ownership scheme.
- 25 days of annual holiday.
- Flex4Me benefits fund, allowing employees to allocate part of their benefits package according to their personal priorities.
- Continuous professional development and career progression opportunities.
- Day-to-day coaching and opportunities to work with experienced professionals.
UK Visa Sponsorship and Right to Work
Important information for international applicants: P&G has provided specific information about visa sponsorship for this entry-level technical position.
The company states that applicants must have continuous or temporary permission to work in the UK from their first day of employment. Candidates whose current right to work is temporary or linked to another sponsor may be considered for sponsorship by P&G when their existing permission ends.
However, any future sponsorship will be subject to the relevant UK Home Office requirements. Applicants should understand that this is not an unconditional offer of immediate visa sponsorship for overseas candidates who do not currently have UK work permission.
Before applying, international candidates should review the latest UK Visas and Immigration guidance and check the applicable Skilled Worker visa requirements.
Applicants should also confirm their individual eligibility and discuss sponsorship arrangements directly with the P&G recruitment team.
Why Work at Procter & Gamble?
Procter & Gamble is a globally recognised consumer goods company with a portfolio of well-known brands. Working for P&G provides an opportunity to contribute to technology projects that support major business operations and internationally recognised products.
The company highlights professional development, supportive leadership, diversity and an inclusive working culture. Employees can develop their technical expertise while gaining exposure to new technologies and practical business challenges.
For someone interested in building a career in artificial intelligence and data engineering, this position offers an opportunity to work on emerging technologies in a major international business environment.
How to Apply for P&G Data Engineer Jobs
Interested candidates should apply through the official Procter & Gamble careers website. Search for the vacancy using job number R000162789 to find the correct application.
Important: P&G has immediate availability for this position and may close the vacancy early if the available positions are filled. Therefore, suitable applicants are encouraged to submit their applications as soon as possible.
Is This Data Engineer Job Suitable for Graduates?
Yes. This vacancy is classified as an entry-level technical position, making it particularly relevant to graduates and early-career professionals with a suitable degree and foundational technical skills.
Applicants with knowledge of Python, SQL, AI technologies, data pipelines and cloud platforms may find this opportunity especially attractive. Practical experience with Agentic AI, Docker and GitHub Actions can also strengthen an application.
International applicants should pay close attention to the right-to-work conditions. Although P&G mentions possible future sponsorship, candidates must have the required permission to work in the UK from Day 1.
Disclaimer: Job details, salary, benefits and recruitment conditions are based on the vacancy information provided. Always check the official employer website for the latest information before applying.
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