Senior Data Engineer

Procter & Gamble is hiring a Senior Data Engineer in Warsaw, Poland. Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

Level rates this data engineer role Works on AI ●●●○: the daily work is on AI products, without building the model.
Tools and skills the posting cites include Databricks, Python and Spark.
Level classifies it as a senior role.
Level lists 873 other open roles at Procter & Gamble.

AI in this role

Senior Data Engineer to lead a data engineering team supporting forecasting platforms and machine learning solutions.

DatabricksPythonSparkAzureSQLDockerHiveCI/CD

data-engineeringmachine-learningdata-modelingpipeline-development

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;
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

How we rate this

Senior Data Engineer at Procter & Gamble rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Engineer is an open job at Procter & Gamble.
Level rates this role AI Level 3 of 4: Works on AI.
The role is based in WARSAW - EU SUPPLY NETWORK HUB.
The job was posted on September 16, 2026.
Seniority: senior.
Applications are handled by Procter & Gamble. Apply on Procter & Gamble

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringMachine learningData ModelingPipeline DevelopmentDatabricksPythonSparkAzure

Also common in data engineer jobs at this level

SQL AWS Airflow Generative AI Snowflake Java

Pay

Typical data engineer job: $146k

This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where machine learning was part of your work. What did you do?
Tell me about a project where data modeling was part of your work. What did you do?
Tell me about a project where pipeline development was part of your work. What did you do?
Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Machine learning, Data Modeling, Pipeline Development, and Databricks. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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