Procter & Gamble

Senior Data Engineer - Superior Retail Execution

Poland · Work style not stated · Full time

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About the role

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EmployerProcter & Gamble
LocationPoland
Work styleWork style not stated
Employment typeFull time
Employer posted7 Aug 2026

Job Location

WARSAW PLANT & GO

Job Description

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.

Show full description

Defines strategy and leads the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs.

Job Qualifications

Bachelor's degree in Computer Science or related field.

Experience in data engineering, data science, machine learning or related field.

Proficiency with data architecture and data processing tools.

Proficiency in Advanced Python Programming, Design Patterns, and FastAPI.

Practical, hands-on experience with Apache Spark and Databricks.

Solid background in building and maintaining CI/CD pipelines (e.g., GitHub Actions) complemented by experience in cloud environment operations and deployments (e.g., Azure)

Familiarity with AI and ML concepts and frameworks

Certifications: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer - Google Cloud Platform (GCP).

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.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

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.

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 Schedule

Full time

Job Number

R000156727

Job Segmentation

Experienced Professionals

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