Senior Data Engineer - Hybrid, Data Pipelines & AI Solutions

Procter & Gamble; Warszawa; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Private health care

P&G stock

Saving plans

Sport cards

Job summary

Procter & Gamble Warsaw seeks a data-focused engineer to assemble large data sets and collaborate with asset managers, architects, and leads to deliver fit-for-use data solutions aligned with our architecture blueprints.

The role emphasizes Python, Spark/Databricks, and building scalable CI/CD pipelines in Azure, with a hybrid work model and opportunities to influence major IT transformations across the organization.

Qualifications

• Bachelor's degree in Computer Science or related field.
• Experience in data engineering, data science, machine learning or 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.
• CI/CD pipelines (e.g., GitHub Actions) and cloud deployments (Azure).
• Familiarity with AI/ML concepts and frameworks.
• Certifications in cloud or data engineering are a plus.

Responsibilities

• Assemble large complex data sets that meet business requirements.
• Partner with data asset managers, architects, and leads to ensure data is fit for use.
• Contribute to coding standards and best practices for service components.
• Identify, design, and implement internal process improvements.

Skills

Data engineering

Data science

ML concepts

Python programming

Design patterns

FastAPI

Apache Spark

Databricks

GitHub Actions

Azure cloud

Education

Bachelor's degree in Computer Science or related field

Tools

GitHub Actions

Azure

Databricks

Apache Spark

FastAPI

Job description

Procter & Gamble Warsaw seeks a data-focused engineer to assemble large data sets and collaborate with asset managers, architects, and leads to deliver fit-for-use data solutions aligned with our architecture blueprints.

The role emphasizes Python, Spark/Databricks, and building scalable CI/CD pipelines in Azure, with a hybrid work model and opportunities to influence major IT transformations across the organization.