Sr. Data Engineer
Company: FetchJobs.co
Location: Location not specified (Remote)
Type: Full-time
Level: Senior
Remote: Yes
Posted: 2026-02-21
About this role
About The Company
Procter & Gamble (P&G) is a globally renowned leader in the consumer goods industry, with a rich history spanning over 180 years. Originally founded as a modest soap and candle company, P&G has evolved into the world's largest consumer goods corporation, trusted for its portfolio of iconic brands that enhance everyday life. The company's success is rooted in its core principles of leadership, innovation, and citizenship, which have driven its growth across three centuries. P&G is committed to responsible and ethical governance, environmental sustainability, and social responsibility, making it a place where employees can take pride in their work and make a meaningful impact.
About The Role
We are seeking a highly skilled and motivated Senior Data/Software Engineer to join our Data Quality team within the Data & Analytics Core Data Lake Platform at P&G. This role offers an exciting opportunity to work on critical data infrastructure that supports a broad spectrum of digital products and analytics frameworks used across our global operations. The ideal candidate will leverage modern Agile and DevOps practices to design, develop, test, and deploy innovative IT solutions that enhance data quality, discoverability, and usability. You will collaborate with cross-functional teams, including data engineers, analysts, and stakeholders, to build robust data quality frameworks that ensure the integrity and reliability of our data assets. This position provides a unique chance to influence data governance standards and contribute to P&G’s digital transformation journey.
Qualifications
The ideal candidate will possess a bachelor’s degree in computer science, information technology, or a related technical field, along with a minimum of 8 years of experience as a Software or Data Engineer. Proficiency in Python, PySpark, and Databricks is essential, along with familiarity with open-source data quality libraries such as Great Expectations a...