Role Overview
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.
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 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.
