Data Engineer - Superior Retail Execution

Procter & Gamble
Warsaw
Workplace: HybridFull timeFunction: Data Science & Machine LearningEducation: bachelorsSkills: []

Design, develop, and implement cloud-based analytics platforms and data pipelines to acquire, cleanse, transform, and publish data from diverse sources. Build and assemble complex datasets to meet business requirements, and partner with data asset managers, architects, and development leads to deliver data that fits architecture blueprints. Apply coding standards, improve internal processes, and support reusable, efficient data services using modern platforms and CI/CD practices.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Procter & Gamble
Procter & Gamble
4 days ago

Data Engineer - Superior Retail Execution

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 12 hours agoStatus: Live

Job Summary

Design, develop, and implement cloud-based analytics platforms and data pipelines to acquire, cleanse, transform, and publish data from diverse sources. Build and assemble complex datasets to meet business requirements, and partner with data asset managers, architects, and development leads to deliver data that fits architecture blueprints. Apply coding standards, improve internal processes, and support reusable, efficient data services using modern platforms and CI/CD practices.
Location: Warsaw
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Design, develop, and implement cloud-based analytics platforms and data pipelines to acquire, cleanse, transform, and publish data.
  • •Assemble large, complex datasets that meet functional and non-functional business requirements.
  • •Partner with data asset managers, architects, and development leads to ensure data solutions align with architecture blueprints.
  • •Contribute to coding standards and best practices to keep services and components efficient and reusable.
  • •Identify, design, and implement internal process improvements for data/platform operations.

Pay and Benefits

Perks:Health InsuranceEquity

Key Requirements

  • •Bachelor’s degree in Computer Science or a related field.
  • •Experience in data engineering, data science, machine learning, or a related field.
  • •Proficiency with data architecture and data processing tools.
  • •Proficiency in advanced Python programming, design patterns, and FastAPI.
  • •Hands-on experience with Apache Spark and Databricks; plus CI/CD pipeline experience (e.g., GitHub Actions) and cloud operations/deployments (e.g., Azure).
Experience:Data engineeringData scienceMachine learningCloudAI/MLAnalytics
Education:Bachelor's
Certifications:Azure Associate Data Engineer (DP-203)Databricks Professional Data EngineerApache Spark Developer AssociateProfessional Data Engineer - Google Cloud Platform (GCP)
Tech Stack:PythonFastAPIDesign PatternsApache SparkDatabricksCI/CDGitHub ActionsAzureAIMLGoogle Cloud Platform (GCP)Data Architecture

Company Brief

Procter & Gamble
Procter & Gamble is a global consumer goods company that develops, manufactures, and markets branded household, personal care, and health products across categories like beauty, grooming, health care, fabric & home care, and baby & family care.
Industry: Consumer Goods
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Cincinnati, United States
Founded: 1837
WebsiteLinkedIn