Senior Data Engineer – Grooming Digital Assets @ Procter & Gamble

Job LocationWARSAW DOWNTOWN OFFICEJob DescriptionJoin our dynamic Grooming Data Hub team in Warsaw as a Senior Data Engineer and be a pivotal force in shaping the future of our iconic Braun and Gillette brands. We are on the lookout for self-motivated professionals who bring a wealth of experience in data ingestion, cleansing, harmonization, and the development of robust data pipelines and transformations across Azure and IT/OT on-premise platforms.In this influential role, you'll empower data-driven decision-making and automation supported by cutting-edge AI technology. This is an extraordinary opportunity to engage in exciting global projects and collaborate with diverse, multi-functional teams both within and beyond P&G, making a meaningful impact on our business.Key Responsibilities:Data Maintenance and Management:Take charge of maintaining and managing extensive datasets from digital twin simulations and curate libraries of sampled data from production systems.Oversee libraries of model versions and validation datasets, ensuring they are up-to-date and accessible.Develop and maintain annotation schemas and labeling ontologies in partnership with P&G’s AI Factory.Guarantee data integrity, consistency, and availability across IT/OT systemsSet up and document a Data Version Control (DVC) system to meticulously track datasets, model weights, and configurations; in coordination with GitHub version controls.Data Modeling and Architecture:Enforce data governance policies to uphold data security, privacy, and compliance.Collaborate with business stakeholders to deeply understand data requirements, ensuring our data models are aligned with their needs.Cloud / Hybrid Infrastructure Management:Efficiently distribute and store data within P&G's Microsoft Azure cloud infrastructure.Collaborate with IT/OT platform teams to create configurations for Kubernetes, GitHub runner VMs, and model registries.Implement best practices for cloud data storage, security, and distribution, ensuring a balanced approach to cost and value.Design and build scalable data pipelines using cloud technologies, including advanced ETL (extract, transform, load) processes.Collaborate closely with IT and digital infrastructure teams to streamline data access and usage.Continuous Improvement:Stay ahead of the…

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