Lead Senior Data Engineer — Forecasting & Data Platforms

Procter & Gamble

Warszawa

Hybrid

PLN 180,000 - 250,000

Full time

45 hours ago
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Benefits offered by this job

Healthcare
Life Insurance
P&G stock options
Lunch subsidy
Sport cards
In-office fitness center
Flexible working arrangements

Job summary

Procter & Gamble in Warsaw is seeking a Senior Data Engineer to lead the Data Engineering horizontal team supporting Forecasting and Web Apps platforms from the Konstruktorska office. You will drive data solutions across forecasting, optimization and applied analytics, building scalable pipelines and ensuring data quality, while guiding internal and external engineers.

You will mentor a cross-functional team, collaborate with Data Scientists and DevOps, set coding standards, maintain

Qualifications

  • Strong Engineering background in Python, Spark, Databricks, Azure, SQL, Docker, Hive, CI/CD.
  • 4+ years of engineering experience (Data/Software/DevOps).
  • Knowledge of data modeling and data pipelines.

Responsibilities

  • Lead a team of Data Engineers, managing technical and people aspects.
  • Design, develop, and implement data solutions from diverse sources.
  • Build scalable data pipelines for efficient processing and analysis.
  • Ensure data quality and integrity with validation and cleansing processes.
  • Troubleshoot data-related issues and organize raw data.
  • Contribute to data models and maintain documentation.
  • Adhere to coding standards for reusable services and components.
  • Collaborate with Data Scientists, AI engineers, and DevOps teams.

Skills

Python
Spark
Databricks
Azure
SQL
Docker
Hive
CI/CD
pyrogAI

Education

Bachelor's degree

Job description

Procter & Gamble in Warsaw is seeking a Senior Data Engineer to lead the Data Engineering horizontal team supporting Forecasting and Web Apps platforms from the Konstruktorska office. You will drive data solutions across forecasting, optimization and applied analytics, building scalable pipelines and ensuring data quality, while guiding internal and external engineers.

You will mentor a cross-functional team, collaborate with Data Scientists and DevOps, set coding standards, maintain

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