Level

Procter & Gamble

Senior Data Platform Engineer

Procter & Gamble is hiring a Senior Data Platform Engineer. Level rates it ; you can apply on Procter & Gamble.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting mentions Databricks, Azure and GitHub among its tools and skills.
  • Level classes it as a senior role.
  • Procter & Gamble has 853 other open roles on Level.

AI in this role

Support customer adoption of enterprise data and analytics platforms while building AI-powered support capabilities and automation solutions.

databricksazuregithub
data-engineeringdevopsautomationci-cd

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

Are you energized by helping technical teams move faster and solve technical problems? Do you enjoy translating complex platform capabilities into practical solutions that engineers, developers, and analytics teams can actually use?

As a D&A Platform Customer Success Engineer, you will leverage your data expertise to help teams successfully adopt, scale, and optimize solutions on our enterprise Data & Analytics platform. You will combine hands-on expertise in Data Engineering, DevOps, and cloud technologies with a customer-success mindset, supporting users across modern platform capabilities including Databricks, Azure, AI solutions, and data management services.

In this role, you will serve as both a technical data expert and trusted advisor. You will help teams accelerate onboarding, resolve complex technical challenges, implement scalable engineering practices, and improve the overall developer experience. You will also work closely with platform engineering teams to turn customer feedback into better capabilities, stronger automation, and more efficient ways of working.

Responsibilities

  • Enable and support internal teams in effectively adopting and building on enterprise platform capabilities.

  • Develop AI-powered support capabilities, automation solutions, and self-service experiences to improve customer productivity and reduce support effort.

  • Partner with data engineers, architects, asset managers, and development teams to design and implement robust technical solutions.

  • Guide users on platform setup, API integration, GitHub workflows, CI/CD implementation, and engineering best practices.

  • Build and promote reusable “golden path” solutions that simplify platform adoption and accelerate delivery across teams.

  • Provide actionable feedback to platform engineering teams to improve platform usability, developer experience, and operational efficiency.

  • Follow and contribute to engineering standards, ensuring solutions are scalable, secure, maintainable, cost-effective, and reusable.

  • Analyze recurring customer challenges and drive continuous improvement initiatives through automation and process optimization.

  • Stay current with emerging technologies and industry trends in Data Engineering, DevOps, Cloud Platforms, and AI-powered development.

Job Qualifications

  • Experience working in Data Engineering, Platform Engineering, DevOps Engineering, Cloud Engineering, or a similar technical discipline.

  • Excellent communication and stakeholder management skills.

  • Strong hands-on experience with Databricks, Python Spark/PySpark, SQL, Azure Cloud Services, and GitHub.

  • Experience designing and implementing CI/CD pipelines utilizing tools such as GitHub Actions, SonarQube, Snyk, or equivalent technologies.

  • Strong understanding of distributed computing concepts and large-scale data processing.

  • Experience troubleshooting and supporting complex cloud-based platforms and data solutions.

  • Understanding of Cloud Infrastructure and networking in Azure.

  • Strong problem-solving mindset with demonstrated ability to navigate ambiguity and drive customer success.

We offer

  • P&G-sized projects and access to world leading IT partners and technologies from Day 1.

  • Wide range of self-development possibilities (training and certifications paths).

  • Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).

  • Regular salary increases and possible promotions - in line with your results and performance.

  • Opportunity to change role every few years to be in the best place for you and best for P&G.

At Procter & Gamble we embrace a hybrid work model that combines the flexibility of remote work with the collaborative benefits of in-office engagement. Employees can enjoy the option to work from home two days a week while also spending time in the office to foster teamwork and enhance communication.

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.

We are an equal opportunity employer and value diversity at our company. We do not discriminate against individuals on the basis of race, color, gender, age, national origin, religion, sexual orientation, gender identity or expression, marital status, citizenship, disability, HIV/AIDS status, or any other legally protected factor.

Job Schedule

Full time

Job Number

R000152402

Job Segmentation

Experienced Professionals

How we rate this

Senior Data Platform Engineer at Procter & Gamble rates 60 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringDevOpsAutomationCI/CDDatabricksAzureGitHub

Questions you could be asked

  1. Tell me about a project where data engineering was part of your work. What did you do?
  2. Tell me about a project where devops was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where ci/cd was part of your work. What did you do?
  5. Walk me through how you've used Databricks in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Data Engineering, DevOps, Automation, CI/CD, and Databricks. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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