Job Description

The Data Engineer is responsible for designing, developing, and implementing data and analytics cloud-based analytics platforms (DAP) and pipelines that acquire, cleanse, transform, and publish data from a wide variety of sources.

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.

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.

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