About the Company
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.
Role Overview
We are looking for a Lead Data Engineer & DevOps 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 Lead Data Engineer & DevOps 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.
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
- Hybrid work model: 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.
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
