Senior Data Engineer (Data & Analytics)

Procter & Gamble is a global company producing recognized brands such as Always®, Ariel®, Gillette®, Head & Shoulders®, Herbal Essences®, Oral-B®, Pampers®, Pantene®, and Tampax®. The company operates in approximately 70 countries worldwide and focuses on growing business leaders in the industry.

• Deep expertise in SQL and Python with proven ability to optimize complex, large-scale data workflows
• Strong command of data modeling principles tailored for analytics—dimensional models, partitioning, and performance tuning
• Mastery of Spark for building robust ETL pipelines in cloud environments
• Experience architecting and managing comprehensive CI/CD pipelines and automation tooling for data engineering
• Demonstrated leadership in code reviews, documentation standards, and cross-team knowledge sharing
• Excellent communication skills, with a collaborative approach and ability to influence across multidisciplinary teams

Nice to have:

• Hands-on experience with Databricks platform specifics, including job template parametrization
• Background in query optimization techniques and data pipeline debugging at scale
• Strong Agile/Scrum mindset with cross-team coordination experience
• Exposure to cutting-edge GenAI tools beyond basic coding assistance
• Power BI at scale, including DAX optimization and star/snowflake schema design

• Architect and implement highly scalable, automation-first data pipelines and services using Python, SQL, and Spark with strong emphasis on reliability and performance
• Lead data modeling initiatives for complex BI scenarios, including advanced partitioning strategies and incremental refresh
• Drive automation and standardization by developing reusable code templates, job configurations, and infrastructure-as-code components to reduce maintenance overhead
• Champion AI-assisted development workflows, leveraging GenAI tools to accelerate coding, testing, and documentation while ensuring quality and maintainability
• Take full ownership of code quality, conducting thorough design and code reviews, and guiding architectural decisions on data platform components
• Define and enforce engineering standards spanning version control, CI/CD pipelines, testing frameworks, and documentation best practices
• Collaborate deeply with cross-functional stakeholders and scrum teams throughout the product lifecycle, ensuring delivery excellence and technical alignment

Employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions. Equal opportunity employer statement included.