Senior Data Engineer

Procter & Gamble is a global organization with strong data maturity, operating in Warsaw at the EU Supply Network Hub, focusing on forecasting, optimization, and applied analytics domains.

• Strong engineering background with expertise in Python, Spark, Databricks, Azure, SQL, Docker, Hive, CI/CD; experience with pyrogAI is a plus
• At least 4 years of proven experience in an engineering role such as Data Engineer, Software Engineer, or DevOps
• Proficiency with Data Engineering concepts including Data Models and Data Pipelines
• Excellent collaboration skills within cross-functional teams
• Demonstrated success in leadership, problem-solving, priority setting, and people management
• English proficiency
• At least a Bachelor's degree

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