Senior Data Engineer

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Job Description

P&G was founded over 180 years ago as a simple soap and candle company. Today, we're the world’s largest consumer goods company and home to iconic, trusted brands that make life a little bit easier in small but meaningful ways. We've spanned three centuries thanks to three simple ideas: leadership, innovation and citizenship. The insight, innovation and passion of hardworking teams have helped us grow into a global company that is governed responsibly and ethically, that is open and visible, and that supports good causes and protects the environment. This is a place where you can be proud to work and do something that matters.

Dedication from Us: You'll be at the core of breakthrough innovations, be given exciting assignments, lead initiatives, and take ownership and responsibility, in creative workspaces where new insights thrive. All the while, you'll receive outstanding training to help you become a leader in your field. It is not just about what you'll do, but how you'll feel: encouraged, valued, purposeful, challenged, heard, and inspired.

What we Offer: Continuous mentorship – you will collaborate with peers and receive both formal training as well as day-to-day mentoring from your manager dynamic and encouraging work environment– employees are at the center, we value every individual and support initiative, promoting agility and work/life balance.

Job Description:

The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.

Key Responsibilities:

• Assemble large complex data sets which meet functional and non-functional business requirements.
• Partner with data asset managers, architects, and development leads to ensure a technical solution provides data which is fit for use and in line with architecture blueprints.
• Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable.
• Identify, design, and implement internal process improvements.

Qualifications:

• Demonstrates breadth of applied IT skills across at least two IT job profiles.
• Applies Integrated Risk Management, IT Operations, IT Project Management, and Enterprise Architecture skills relevant to the work.
• Requires at least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes.
• Defines strategy and leads the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs.
  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 are able to 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 approximately70 countries worldwide.

• Visit http://www.pg.com to know more. We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor

Job Qualifications

• Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related technical field, or equivalent practical experience.
• 7+ years of experience in data engineering, with strong hands-on expertise in building and delivering Big Data solutions using Spark and Databricks.
• Proven experience designing and developing end-to-end data solutions, including architecture, coding, testing, deployment, and production support.
• Strong knowledge of modern data platform concepts and architectures, including Data Warehousing, Lakehouse, Data Mesh, and Data Quality.
• Knowledge in cloud technologies (Azure Cloud, Google Cloud) – at least 3 years inclusive of software engineering experience like API development
• Extensive knowledge of modern Big Data architecture: Data Warehousing, Lakehouse, Data Mesh, Data Quality, and semantic layer design.
• Fluency in Python (PySpark) and SQL, plus working knowledge of LLM orchestration frameworks (e.g. LangGraph, LangChain or equivalent) and context engineering for data-facing agents
• Experience with orchestration and cloud data integration tools such as Airflow and Azure Data Factory.
• Hands-on experience with CI/CD pipelines, unit testing, API integrations, and modern software engineering practices across Agile and DevOps environments.
• Strong Understanding of AI-native operating model concepts — in the loop, on the loop, and governing the loop — and how they translate into data access and approval architecture.
• Ability to lead technical design discussions, drive solution decisions, and work as a hands-on technical lead within cross-functional and global teams.
• Strong verbal, written, and interpersonal communication skills, with the ability to collaborate effectively with technical and business stakeholders.
• Strong commitment to engineering excellence and delivering high-quality software through code reviews, testing, automation, and continuous improvement.

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