Senior Data Engineer – Grooming Digital Assets

Job Location

WARSAW DOWNTOWN OFFICE

Job Description

Join 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 systems

• Set 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 curve by keeping abreast of the latest industry trends and technologies in data engineering and cloud computing.

• Propose and implement innovative solutions that enhance data management, processing, and distribution practices.

Job Qualifications

• Proven experience as a Data Engineer with large datasets (5+ years).

• Proficient in Microsoft Azure or other cloud platforms.

• Strong programming skills in languages such as Python, SQL, and SPARK.

• Solid understanding of cloud data storage and distribution best practices.

• Exceptional problem-solving skills and meticulous attention to detail.

• Ability to thrive in a collaborative team environment and communicate effectively across cross-functional teams.

• Excellent organizational skills with the capability to manage multiple projects simultaneously.

Preferred Qualifications:

• Knowledge of  SAP data tables.

• Experience with Nvidia Omniverse or equivalent digital twin platforms.

• Familiarity with 3D Digital Twin Assets and simulation data management.

• Experience with annotation ontologies for labeling data using platforms like Labelbox/Azure ML.

• Understanding of data governance and compliance standards.

• Experience with big data technologies such as Kubernetes, Spark, and other relevant technologies.

• Expertise in Databricks.

• Experience with real-time data processing and streaming technologies.

We offer

• P&G-sized projects and access to world leading IT partners and technologies from Day 1.

• Wide range of self-development possibilities (training and certifications paths).

• Competitive starting salary and benefits program (private health care, P&G stock, saving plans, sport cards).

• Regular salary increases and possible promotions - in line with your results and performance.

• Opportunity to change role every few years to be in the best place for you