Data Engineering & DevOps Lead
Procter & Gamble is hiring a Data Engineering & DevOps Lead. Level rates it ; you can apply on Procter & Gamble.
Level's read on this job
- Little AI ●○○○ is how Level rates this data engineer role: aI is not part of the work.
- Tools and skills the posting cites include Databricks, Google Cloud and Azure.
- Level classifies it as a lead role.
- Level lists 852 other open roles at Procter & Gamble.
- The role was posted within the past week.
AI in this role
Lead data engineering and DevOps strategies, managing cloud pipelines and infrastructure as code for a global beauty care IT hub.
Job Location
WARSAW DOWNTOWN OFFICEJob Description
Beauty Care is one of the company’s sectors, merging categories of Skin, Personal Care and Hair Care with billion dollar brands like Olay, Old Spice, SK-II, Pantene, Head & Shoulders and Herbal Essences. As Beauty Care IT Hub in Warsaw we provide IT services and solutions to Beauty Care business globally. The roles in Warsaw focus around Data & Analytics, DevOps and Architecture, which includes Software Engineering, Data & AI Engineering, Data Asset Management and Product Management.
We are looking for a Data Engineering & DevOps Lead to join our Beauty Care IT team in Warsaw to lead the JBP with central, upskill our technical resources, define best practices/processes, etc.
Responsibilities:
As a Data Engineering & DevOps Lead you will be responsible for:
- Define Long-Term Platform Architecture: Partner with Data Asset Manager, Solution/Enterprise architects to establish a resilient, future-proof technical roadmap.
- Lead Data Pipeline Engineering: Architect and optimize robust, high-throughput batch and streaming data pipelines leveraging the Google Cloud ecosystem (current solution). Assembling large, complex data sets which meet functional and non-functional business requirements. Acquiring, cleansing, transforming, validating and publishing data from a wide variety of sources.
- Champion DataOps & Infrastructure as Code (IaC): Own the DevOps strategy for data platforms to provision and manage cloud infrastructure, ensuring environments are reproducible, version-controlled, and modular.
- Automate End-to-End CI/CD: Build, maintain, and standardize automated CI/CD pipelines incorporating automated testing, data contract validation, and zero-downtime deployment practices.
- Drive GCP FinOps & Observability: Implement SRE-style monitoring, logging, and alerting to maintain high availability while actively managing and optimizing GCP cloud spend and resource allocation.
- Embed Security & Governance into Code: Implement enterprise security controls and data governance standards directly into deployment pipelines and infrastructure configurations.
- Technical Leadership & Mentorship: Guide and upskill engineering teams across both modern data engineering techniques and DevOps principles, establishing best practices for code reviews, architectural documentation, and production readiness.
Job Qualifications
- Proven senior experience in data engineering and/or management
- Experience with Azure and/or Google Cloud Platform
- Demonstrated knowledge of: SQL, Python, PySpark, coding standards
- Client management and communication skills
- Hands on experience writing clean, effective code
Nice to have:
- Experience with Databricks and Power BI
- DAMA certification
- SCRUM and DevOps methodologies
- Using or building CI/CD tools
What we offer
- Responsibilities as of day 1. You will have project ownership and autonomy to deliver change and results from the beginning
- Dynamic and encouraging work environment. At P&G our employees are at the core, we value every individual and encourage initiatives, promoting agility and work/life balance
- Continuous mentoring, you will work with hardworking people and receive ongoing coaching and mentoring from your line manager and other colleagues. Corporate and functional training will enable you to succeed and develop from day one
- Industry Certifications (ITIL, DevOps, MS portfolio etc), full additional benefit program like private health care, P&G Dynamic Living programs like sport cards, in-office fitness center, PG stock options, saving plans, lunch subsidy, regular salary increases and possible promotions, flexible work arrangements, mentoring programs & trainings
- Big Picture understanding of P&G IT and Product Supply organization and its Services in global multi-functional teams with several locations across continents
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.
At P&G #weseeequal
We are an equal opportunity employer and value diversity at our company. At P&G we strive to build a culture where everyone feels welcome, included, and able to bring their full selves to work.
We ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process. Please click here if you require an accommodation during the application process. Please make sure to wait to hear back from us regarding your accommodation before proceeding with the online assessment, we thank you in advance for your patience.
Kindly be advised that at P&G, employment is exclusively extended on the basis of "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.
Job Schedule
Full timeJob Number
R000153283Job Segmentation
Experienced ProfessionalsHow we rate this
Data Engineering & DevOps Lead at Procter & Gamble rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ 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
Pay
- Typical data engineer job
- $150k
This posting doesn't list pay. Use the typical data engineer figure when pay comes up. See data engineer jobs
Questions you could be asked
- What's a project where you used Databricks hands-on?
- Walk me through how you've used Google Cloud in your day-to-day work.
- What are the limits of Azure that you've run into, and how did you work around them?
- What's a project where you used Terraform hands-on?
- Walk me through how you've used Kubernetes in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Databricks, Google Cloud, Azure, Terraform, and Kubernetes. 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.
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