data engineer for forecasting

Enfint; Warszawa; On-site; PLN 150,000 - 190,000; Full time

Benefits offered by this job

Private health care

Life insurance

Stock options

Saving plans

Lunch subsidy

Sport cards

In-office gym

Coaching programs

Career development

Job summary

Procter & Gamble ищет опытного Data Engineer для разработки и поддержки масштабируемых конвейеров данных и решений машинного обучения в OSST Demand Planning.

Кандидат будет руководить командой инженеров данных, взаимодействовать с учёными данными, инженерами AI и DevOps, обеспечивая качество данных и эффективную обработку источников.

Qualifications

• Требуется сильный инженерный бэкгроунд. Опыт руководства командами не менее 4 лет.
• Опыт проектирования и разработки data pipelines и моделей.
• Свободное владение английским языком, профильная вилка знаний по data engineering.

Responsibilities

• Лидировать внутренних и внешних Data Engineers; управлять командой и задачами.
• Разрабатывать и внедрять конвейеры данных для извлечения, трансформации и загрузки данных.
• Обеспечивать качество данных и их согласованность через валидацию и очистку.

Skills

Leadership

Cross-functional teamwork

Problem-solving

English proficiency

Education

Bachelor's degree

Tools

Python

Spark

Databricks

Azure

SQL

Docker

Hive

CI/CD

Job description

Описание:

Procter & Gamble builds scalable forecasting solutions within its OSST Demand Planning organization, including Machine Learning solutions for forecasting and multiple web applications. The organization develops solutions across forecasting, optimization, and applied analytics domains.

Задачи:

• Lead internal and external Data Engineers, combining technical leadership with people management;
• Design, develop, and implement data solutions that acquire, transform, and optimize data from diverse sources;
• Build scalable pipelines for efficient data processing and analysis;
• Ensure data quality and integrity through data validation and cleansing processes;
• Troubleshoot data-related issues;
• Analyze and organize raw data;
• Contribute to the development of data models;
• Maintain data engineering documentation;
• Apply coding standards and best practices to create efficient and reusable services and components;
• Collaborate with Data Scientists, AI engineers, and DevOps engineers on day-to-day tasks;
• Interact with P&G IT organizations, including Architects, Platform Teams, and Data Publishers Teams.

Требования:

• Strong engineering background with Python, Spark, Databricks, Azure, SQ, Docker, Hive, and CICD;
• At least 4 years of experience in an Engineering position such as Data Engineer, Software Engineer, or DevOps;
• Proficiency in data engineering concepts, including data models and data pipelines;
• Excellent collaboration skills and comfort working within a cross-functional team;
• Demonstrated success in leadership, problem-solving, priority setting, and people management;
• English proficiency;
• At least a Bachelor's degree;
• Nice to have: pyrogAI.

Условия:

• Industry certifications, including DevOps, Professional Scrum Master, Azure Fundamental, and SAFe Agilist;
• Competitive salary and benefits program;
• Private health care;
• Life insurance;
• P&G stock options;
• Saving plans;
• Lunch subsidy;
• Sport cards;
• In-office fitness center;
• Internal coaching programs and training;
• Long-term career with development and growth opportunities.