Procter & Gamble

Senior Data Engineer

Procter & Gamble Warsaw, Masovian Voivodeship, Poland

Manufacturing · 10,001+ employees

Yesterday
data-engineer Mid (2-5 yrs) Full-time Poland
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About the role

Lead a team of internal and external data engineers to design, develop, and implement scalable data solutions and pipelines. Collaborate with data scientists, AI engineers, and DevOps teams to ensure data quality and integrity across forecasting and analytics platforms.

What they look for

Python Spark Databricks Azure SQL Docker Hive CICD Data engineering Data modeling Data pipelines Machine learning Technical leadership People management Problem-solving Cross-functional collaboration

Requirements

Requires at least 4 years of experience in data engineering, software engineering, or DevOps roles. Candidates must possess strong technical proficiency in Python, Spark, Databricks, Azure, and SQL, along with a bachelor's degree.

Benefits

Private health care Life insurance P&G stock options Saving plans Lunch subsidy Sport cards In-office fitness center Internal coaching programs Training Flexible working arrangements

Full description

Job Location

WARSAW - EU SUPPLY NETWORK HUB

Job Description

Poland - Warsaw – Konstruktorska office

Within our OSST Demand Planning we build solutions for Forecasting at scale.

We’re looking for an ambitious Senior Data Engineer who will lead the Data Engineering horizontal team, serving multiple platforms:

  • Forecasting platform, building Machine Learning solutions
  • Web Apps platform, building multiple webapp applications.

You’ll be joining a global organization with strong data maturity, where you’ll shape scalable solutions across forecasting, optimization, and applied analytics domains.

Responsibilities:

  • Lead a team of internal and external Data Engineers, cover both technical leadership and people management
  • Design, develop, and implement data solutions that acquire, transform, and optimize data from diverse sources.
  • Build scalable pipelines to enable efficient data processing and analysis.
  • Ensure data quality and integrity by implementing data validation and cleansing processes.
  • Troubleshoot data related issues.
  • Analyze and organize raw data.
  • Contribute to the development of data models.
  • Maintain data engineering documentations.
  • Leverage coding standards and best practices to ensure efficient and reusable services and components.
  • Collaborate with Data Scientists, AI engineers, DevOps engineers in day to day tasks.
  • Interact with other P&G IT organizations, including Architects, other Platform Teams, and Data Publishers Teams.

Job Qualifications

Our ideal candidate has:

  • Strong Engineering background in areas of: Python, Spark, Databricks, Azure, SQ, Docker, Hive, CICD; pyrogAI is a plus!
  • Proven experience of at least 4 years of experience in an Engineering position in the past (Data Engineer / Software Engineer / DevOps)
  • Proficiency with Data Engineering concepts: Data Model, Data Pipelines
  • Excellent collaboration skills and working comfortably within a cross-functional team
  • Shown success in leadership, problem-solving solving and priority setting, people management
  • English proficiency and at least a Bachelor's degree

What we offer:

  • Work in an international team with global responsibilities (with large part of engineering team located in Warsaw)
  • Industry Certifications (e.g. DevOps, Professional Scrum Master, Azure Fundamental, SAFe Agilist and many others)
  • Competitive salary and benefits program (private health care, life insurance, P&G stock options, saving plans, lunch subsidy, sport cards, in-office fitness center)
  • Internal coaching programs & training
  • Flexible working arrangements
  • Long-term career with development and growth opportunities

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.

Job Schedule

Full time

Job Number

R000157552

Job Segmentation

Experienced Professionals

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