Senior Data Engineer (SRE)

Co będziesz robić

Role Description

We are looking for a Senior Data Engineer (SRE) who builds things — AI agents, automations, and tools that keep our enterprise data pipelines running at scale. If you write production-quality code and are excited by the challenge of building AI-powered systems, we want to hear from you.

Key Responsibilities

• Build LLM-enabled AI agents that detect, classify, and diagnose issues in data pipelines — replacing manual investigation with automated reasoning and self-healing workflows.
• Collaborate with engineering teams to embed observability, reliability, and resilience from design through to production — not add it after things break.
• Build proactive data quality systems — automated checks that validate data as it flows through pipelines, catching issues before they reach consumers.
• Build logging and monitoring tooling that automatically surfaces issues before they impact downstream users — making failures visible and debuggable.
• Investigate failures, identify root causes, and turn learnings into better systems.

About Us

We produce globally recognized brands and we grow the best business leaders in the industry. With a portfolio of trusted brands as diverse as ours, it is paramount our leaders can lead with courage the vast array of brands, categories and functions. We serve consumers around the world with one of the strongest portfolios of trusted, quality, leadership brands, including Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, Tampax® and more. Our community includes operations in approximately 70 countries worldwide. Visit http://www.pg.com to know more.

Wymagania

Job Qualifications

• 4+ years of experience in Software Engineering or Data Engineering.
• Experience building ETL/ELT data pipelines.
• Strong software development skills in Python — you write production-quality code.
• Practical experience building with LLMs or AI agents; you have shipped something that uses generative AI in a production or near-production context.
• Working knowledge of cloud services (Azure preferred), including Infrastructure as a Code (e.g. Terraform).
• Experience building logging systems in production.

Co oferujemy

What we offer

• P&G-sized projects and access to world leading IT partners and technologies from Day 1.
• Wide range of self-development possibilities (training and certifications paths).
• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).
• Regular salary increases and possible promotions - in line with your results and performance.
• Opportunity to change role every few years to be in the best place for you and best for P&G.
• At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.