data engineer for consumer brands

Enfint; Warszawa; On-site; PLN 180,000 - 320,000; Full time

Benefits offered by this job

Private health care

P&G stock

Saving plans

Sport cards

Job summary

Procter & Gamble ищет специалиста по данным для работы над крупномасштабными наборами и преобразованием бизнес‑целей в данные. Ваша роль предполагает взаимодействие с менеджерами данных, архитекторами и лидерами разработки, соблюдение стандартов кода и разработку повторно используемых сервисов.

Требуется опыт в области инженерии данных, ML и облачных платформах, знание Spark/Databricks, Python и CI/CD. Возможна работа с Azure и применением современных подходов к ИИ/ML.

Qualifications

• Степень бакалавра в области информатики или смежной дисциплины.
• Опыт в инженерии данных, дата−науке, ML или смежной области.
• Знание архитектуры данных и инструментов обработки данных.
• Упомянуты Python, FastAPI, Spark и Databricks в контексте задач.

Responsibilities

• Собирайте большие сложные наборы данных под требования бизнеса.
• Сотрудничайте с менеджерами данных, архитекторами и командами разработки.
• Применяйте стандарты кода и лучшие практики для эффективных сервисов.
• Идентифицируйте и внедряйте внутренние улучшения процессов.

Skills

Data engineering

Data science

Machine learning

Data architecture

Python (Advanced)

Design patterns

FastAPI

Apache Spark

Databricks

CI/CD (GitHub Actions)

Azure cloud

AI/ML concepts

IT leadership

Strategy delivery IT

Education

Bachelor's degree in Computer Science or related field

Job description

Описание:

Procter & Gamble produces globally recognized consumer brands across categories including personal care, home care, grooming, and oral care, with operations in approximately 70 countries worldwide.

Задачи:

• Assemble large complex data sets that meet functional and non-functional business requirements;
• Partner with data asset managers, architects, and development leads to ensure technical solutions provide fit-for-use data aligned with architecture blueprints;
• Contribute to and leverage coding standards and best practices to ensure services and components are efficient and reusable;
• Identify, design, and implement internal process improvements.

Требования:

• Bachelor's degree in Computer Science or a related field
• Experience in data engineering, data science, machine learning, or a related field
• Proficiency with data architecture and data processing tools
• Proficiency in Advanced Python Programming, Design Patterns, and FastAPI
• Practical, hands-on experience with Apache Spark and Databricks
• Solid experience building and maintaining CI/CD pipelines, such as GitHub Actions
• Experience with cloud environment operations and deployments, such as Azure
• Familiarity with AI and ML concepts and frameworks
• Demonstrated breadth of applied IT skills across at least two IT job profiles
• Applied Integrated Risk Management, IT Operations, IT Project Management, and Enterprise Architecture skills relevant to the work
• At least two relevant roles and experience managing or influencing people or organizations to achieve significant IT outcomes
• Ability to define strategy and lead the delivery and transformation of business outcomes through IT within major sub-OU services, products, or programs
• Nice to have: Azure Associate Data Engineer (DP-203), Databricks Professional Data Engineer, Apache Spark Developer Associate, Professional Data Engineer - Google Cloud Platform (GCP).

Условия:

• Access to P&G-sized projects, world-leading IT partners, and technologies from Day 1;
• Self-development opportunities, including training and certification paths;
• Competitive benefits program including private health care, P&G stock, saving plans, and sport cards;
• Regular salary increases and possible promotions based on results and performance;
• Opportunity to change roles every few years;
• Employment exclusively under an 'Umowa o Pracę' (Full-time Employment Contract).