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Procter & Gamble

Makes household and personal care products

Data Engineer - Databricks

Data EngineeringConfirmed live in the last 24 hours
Full-timeWarsaw, Poland$14.7k - $22.1k /mo

About the Job

Requirements

  • Demonstrated experience conducting code reviews, establishing best practices, and providing technical guidance to junior peers or external vendor developers.
  • Ability to articulate technical trade-offs to project stakeholders.
  • Expert-level understanding and hands-on experience with relational data modeling, data warehousing concepts such as star and snowflake schemas, and database design.
  • Expert-level proficiency in SQL, including writing complex queries, performance tuning, and working with advanced functions across different database systems.
  • Advanced programming skills in Python for data manipulation, including Pandas, and hands-on experience developing solutions with PySpark in a distributed computing environment.
  • Practical experience with the Azure data stack, including Azure Data Lake Storage, Azure Data Factory, and Synapse Analytics, and the Databricks platform.
  • Analytical, problem-solving, and critical-thinking skills, including the ability to deconstruct complex business and data problems.

Responsibilities

  • Design, build, test, and deploy automated data pipelines and ETL/ELT processes on the Azure and Databricks platform.
  • Write maintainable, production-ready code in Python and PySpark for data transformations, integrations, and aggregations.
  • Develop, tune, and optimize complex SQL queries for high performance and efficient pipeline execution.
  • Ensure end-to-end data quality, consistency, and reliability across production data flows.
  • Contribute to designing and implementing a harmonized relational and analytical data model that serves as the single source of truth for downstream analytics.
  • Analyze existing multi-source data models and schemas to understand data flows, entity relationships, constraints, and business logic.
  • Collaborate with Data Analysts and business stakeholders to translate analytical requirements into robust, scalable data structures.
  • Ensure data modeling consistency, best practices, and thorough architectural documentation across data assets.
  • Serve as the technical point of contact, subject matter expert, and quality gatekeeper for deliverables developed by external vendor engineers.
  • Perform structured code reviews and pull request approvals to ensure compliance with company coding, testing, and security standards.
  • Partner with the Product Owner to track delivery milestones and technical trade-offs, and mitigate technical debt early.
  • Promote best engineering practices, continuous integration/continuous deployment, and shared team standards.

About the Company

Procter & Gamble

Makes household and personal care products

Procter & Gamble makes household and personal care products that consumers use for cleaning, grooming, hygiene, and everyday health. Its portfolio includes Tide laundry detergent, Pampers diapers, Gillette razors, and Crest toothpaste, with brands tailored to different needs and markets. The company develops and manufactures these branded goods, then earns revenue by selling them through retailers, distributors, online stores, and direct consumer channels. Its businesses span beauty and hair care, shaving, oral and personal health, fabric and home care, and baby and family care. Founded in 1837, Procter & Gamble is headquartered in Cincinnati, Ohio.

Company size
10,001+
Company stage
IPO
Headquarters
Cincinnati, OH
Founded
1837

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