Senior Data Engineer - Superior Retail Execution

Procter & Gamble
Warsaw
Workplace: HybridFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Process improvement","Best practices","Technical collaboration"]

Build and operate large, complex data sets that meet business requirements, partnering with data asset managers, architects, and development leads to ensure solutions align with architecture blueprints. Apply coding standards and best practices to create efficient, reusable services, and drive internal process improvements. Bring strong data engineering and architecture skills with hands-on Python, FastAPI, Apache Spark, Databricks, and CI/CD pipelines using modern cloud operations and deployments.

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FursaFursa
Procter & Gamble
Procter & Gamble
18 hours ago

Senior Data Engineer - Superior Retail Execution

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 18 hours agoStatus: Live

Job Summary

Build and operate large, complex data sets that meet business requirements, partnering with data asset managers, architects, and development leads to ensure solutions align with architecture blueprints. Apply coding standards and best practices to create efficient, reusable services, and drive internal process improvements. Bring strong data engineering and architecture skills with hands-on Python, FastAPI, Apache Spark, Databricks, and CI/CD pipelines using modern cloud operations and deployments.
Location: Warsaw
Workplace: Hybrid
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Assemble large complex data sets that meet functional and non-functional business requirements.
  • •Partner with data asset managers, architects, and development leads to deliver data that is fit for use and aligns with architecture blueprints.
  • •Contribute to coding standards and best practices to ensure services and components are efficient and reusable.
  • •Identify, design, and implement internal process improvements.
  • •Define strategy and lead the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs.

Pay and Benefits

Equity and Bonus:Equity
Perks:Health InsuranceEquity401kGym Membership

Key Requirements

  • •Bachelor’s degree in Computer Science or related field.
  • •Experience in data engineering, data science, machine learning, or related work.
  • •Proficiency with data architecture and data processing tools.
  • •Advanced Python programming with design patterns and FastAPI.
  • •Hands-on experience with Apache Spark and Databricks, plus CI/CD pipelines (e.g., GitHub Actions) and cloud operations/deployments (e.g., Azure).
Experience:Data engineeringData scienceMachine learning
Education:Bachelor's in Computer Science
Skills:Process improvementBest practicesTechnical collaboration
Certifications:Azure Associate Data Engineer (DP-203)Databricks Professional Data EngineerApache Spark Developer AssociateProfessional Data Engineer - Google Cloud Platform (GCP)
Tech Stack:PythonFastAPIApache SparkDatabricksCI/CDGitHub ActionsAzureGCPCI/CD pipelinesDesign PatternsData 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