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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Понятная лидерская роль на стыке современной data engineering на GCP и эксплуатации платформы в крупной международной компании, хотя объединяет два больших направления.
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Два направленияАктуальный стекКрупная компанияГибридный формат
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Data Engineering & DevOps Lead (GCP): Architecting and optimizing high-throughput batch and streaming data pipelines and cloud infrastructure for global Beauty Care IT services with an accent on GCP, DataOps, CI/CD, observability, FinOps, security, and governance. Focus on defining long-term platform architecture, automating zero-downtime deployments, embedding data contracts and controls into code, and mentoring engineering teams.
Location: Warsaw Downtown Office, Poland. Hybrid work model with the option to work from home two days a week and regular office engagement.
Company
Procter & Gamble's Beauty Care IT Hub in Warsaw provides global IT services and solutions for the Skin, Personal Care, and Hair Care business.
What you will do
Partner with Data Asset Managers and Solution/Enterprise Architects to define a resilient, future-proof long-term platform architecture and technical roadmap.
Architect and optimize high-throughput batch and streaming data pipelines using the Google Cloud ecosystem, including data acquisition, cleansing, transformation, validation, and publishing.
Own the DataOps and Infrastructure as Code strategy, provisioning reproducible, version-controlled, and modular cloud environments.
Build, maintain, and standardize automated CI/CD pipelines with automated testing, data contract validation, and zero-downtime deployment practices.
Implement SRE-style monitoring, logging, alerting, security controls, and data governance while optimizing GCP cloud spend and resource allocation.
Lead, mentor, and upskill engineering teams in data engineering, DevOps, code reviews, architectural documentation, and production readiness.
Requirements
Proven senior experience in data engineering and/or management.
Experience with Azure and/or Google Cloud Platform.
Demonstrated knowledge of SQL, Python, PySpark, and coding standards.
Project ownership, autonomy, and responsibility from day one.
Dynamic work environment supporting initiative, agility, and work-life balance.
Continuous mentoring, corporate and functional training, and professional development.
Industry certifications, private healthcare, sports cards, an in-office fitness center, stock options, saving plans, lunch subsidy, salary increases, and possible promotions.
Flexible work arrangements and participation in global, multifunctional teams across several continents.
Full-time employment exclusively under an Umowa o Pracę contract.
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