Data Engineering & DevOps Lead

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SeniorZdalnie·WarszawaFull-time

#464376·Dodano wczoraj·0

Źródło: P&G

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Tech Stack / Keywords

Google Cloud Platform Azure SQL Python PySpark CI/CDInfrastructure as CodeDatabricksPower BISRE

Podsumowanie oferty

Lead data engineering and DevOps for the Beauty Care business, including the design and optimization of data pipelines and cloud platforms. Set platform architecture and delivery practices using the Google Cloud ecosystem, CI/CD, and infrastructure as code.

Wymagania

Proven senior experience in data engineering and/or management.
Experience with Azure and/or Google Cloud Platform.
Knowledge of SQL, Python, PySpark, and 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.
Experience using or building CI/CD tools.

Obowiązki

Define Long-Term Platform Architecture:

Partner with the Data Asset Manager and 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 using the Google Cloud ecosystem.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Acquire, cleanse, transform, validate, and publish 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.
Manage and optimize GCP cloud spend and resource allocation.

Embed Security & Governance into Code:

Implement enterprise security controls and data governance standards in deployment pipelines and infrastructure configurations.

Technical Leadership & Mentorship:

Guide and upskill engineering teams in modern data engineering techniques and DevOps principles.
Establish best practices for code reviews, architectural documentation, and production readiness.

Benefity

Project ownership and autonomy to deliver change and results from the beginning.
Ongoing coaching and mentoring from the line manager and colleagues.
Corporate and functional training.
Industry certifications, including ITIL, DevOps, and the Microsoft portfolio.
Private health care.
Sport cards and an in-office fitness center.
P&G stock options and saving plans.
Lunch subsidy.
Regular salary increases and possible promotions.

Szkolenia wewnętrzne

Opieka zdrowotna

Karta sportowa

Udziały pracownicze

P&G

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