Senior Data Platform Engineer - AI-Driven Platform & DevOps

Procter & Gamble

Warszawa

Hybrid

PLN 240,000 - 360,000

Full time

4 days ago

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Job summary

Procter & Gamble Warsaw is seeking a Senior Data Platform Engineer to help technical teams move faster by translating platform capabilities into practical solutions for engineers, developers, and analytics teams. You will combine data engineering, DevOps, and cloud expertise to adopt, scale, and optimize our enterprise Data & Analytics platform.

You will be a technical data expert and trusted advisor, helping teams onboard, resolve complex challenges, and improve developer experience while

Qualifications

Experience in Data Engineering, Platform Engineering, DevOps Engineering, Cloud Engineering, or a related technical field.
Excellent communication and stakeholder management skills.
Strong hands-on experience with Databricks, Python Spark/PySpark, SQL, Azure Cloud Services, and GitHub.
Experience designing CI/CD pipelines with GitHub Actions, SonarQube, Snyk, or similar tools.
Strong understanding of distributed computing and large-scale data processing.
Experience troubleshooting cloud-based platforms and data solutions.
Understanding of Cloud Infrastructure and networking in Azure.
Problem-solving mindset with ability to navigate ambiguity and drive customer success.

Responsibilities

Enable and support internal teams in adopting and building on enterprise platform capabilities.
Develop AI-powered support capabilities, automation solutions, and self-service experiences to improve productivity.
Partner with data engineers, architects, asset managers, and development teams to design robust solutions.
Guide users on platform setup, API integration, GitHub workflows, CI/CD implementation, and engineering best practices.
Build reusable “golden path” solutions to accelerate platform adoption and delivery.
Provide actionable feedback to platform engineering teams to improve usability and efficiency.
Ensure solutions are scalable, secure, maintainable, cost-effective, and reusable.
Analyze recurring challenges and drive improvement through automation and process changes.
Stay current with emerging technologies and trends in Data Engineering, DevOps, Cloud Platforms, and AI-powered development.