Procter & Gamble

1 month ago

Media Data Engineer (Databricks)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Join the Central Europe Backend Engineering team as a Media Data Engineer specializing in Databricks to design, build, and maintain data pipelines that process social media campaign data from TikTok, YouTube, and Instagram for 700 users across the region. You’ll work with PySpark and SQL on Google Cloud Platform to enable analytics, drive data-driven decision making, and support media insights and optimization.

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop Core Data Solutions: Design and develop high-quality code within Databricks (leveraging PySpark notebooks and SQL) to meet specific business requirements related to media campaign data.
•Accelerate Development: Utilize existing AI capabilities, such as GitHub Copilot or internal tools like BMAD, to enhance productivity and accelerate development cycles.
•Data Set Assembly: Assemble and prepare large, complex datasets from social media sources, ensuring they meet critical functional and non-functional business requirements for diverse analytics applications.
•Architectural Collaboration: Partner with data asset managers, architects, and development leads to ensure all technical data solutions are fit for purpose, align with architectural blueprints, and deliver high-quality, reliable media campaign data.
•Maintain Standards: Contribute to and actively leverage established coding standards and best practices, ensuring that all services and components are efficient, scalable, and reusable.

Pay and Benefits

Perks:Health InsuranceEquityLearning BudgetHybrid WorkGym Membership

Key Requirements

•PySpark expertise
•Databricks proficiency
•SQL mastery
•Google Cloud Platform (GCP) expertise
•Data pipeline experience

Experience:AdvertisingMediaSocial media

Skills:CollaborationProblem-solvingTeamworkCommunication

Tech Stack:DatabricksPySparkSQLGoogle Cloud PlatformBigQueryCloud StorageDataflowPub/SubAirflowGitHub CopilotBMAD

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

Website LinkedIn

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Procter & Gamble

1 month ago

Media Data Engineer (Databricks)

✓ Verified Job

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

Source: Company careers pageValidated by: Fursa AI

Last checked: 13 hours agoStatus: Live

Job Summary

Location: Warsaw

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Key Responsibilities

•Develop Core Data Solutions: Design and develop high-quality code within Databricks (leveraging PySpark notebooks and SQL) to meet specific business requirements related to media campaign data.
•Accelerate Development: Utilize existing AI capabilities, such as GitHub Copilot or internal tools like BMAD, to enhance productivity and accelerate development cycles.
•Data Set Assembly: Assemble and prepare large, complex datasets from social media sources, ensuring they meet critical functional and non-functional business requirements for diverse analytics applications.
•Architectural Collaboration: Partner with data asset managers, architects, and development leads to ensure all technical data solutions are fit for purpose, align with architectural blueprints, and deliver high-quality, reliable media campaign data.
•Maintain Standards: Contribute to and actively leverage established coding standards and best practices, ensuring that all services and components are efficient, scalable, and reusable.

Pay and Benefits

Perks:Health InsuranceEquityLearning BudgetHybrid WorkGym Membership

Key Requirements

•PySpark expertise
•Databricks proficiency
•SQL mastery
•Google Cloud Platform (GCP) expertise
•Data pipeline experience

Experience:AdvertisingMediaSocial media

Skills:CollaborationProblem-solvingTeamworkCommunication

Tech Stack:DatabricksPySparkSQLGoogle Cloud PlatformBigQueryCloud StorageDataflowPub/SubAirflowGitHub CopilotBMAD

Company Brief

Procter & Gamble

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

Website LinkedIn