Data Engineer

Are you passionate about leveraging information technology solutions to drive better business value? Are you ready to take on the challenge of managing applications at a global scale? If so, we have an exciting opportunity for you.

We are seeking a talented Data Engineer to lead our data engineering, data governance, and data quality activities. In this role, you will play a crucial role in designing, developing, and implementing cloud-based data and analytics platforms. You will be responsible for creating and maintaining data pipelines that acquire, cleanse, transform, and publish data, ensuring it meets both functional and non-functional business requirements supporting consumer-facing applications, including brand websites and Direct-to-Consumer selling platforms for our renowned Grooming brands (Braun, Gillette, Venus, The Art of Shaving) around the world.

Responsibilities:

• Understand the need of Business/Operations teams
• Design, develop, and implement data and analytics platforms (DAP) and pipelines
• Create and optimize data models to support business intelligence and analytics needs
• Develop and manage Extract, Transform, Load (ETL) processes to ensure data integrity and quality
• Administer and optimize databases, ensuring efficient storage and retrieval of data
• Integrate data from various sources, including APIs, databases, and third-party services
• Monitor and optimize data processing performance to ensure timely data availability
• Work closely with data scientists, analysts, data assets managers, architects, and stakeholders to understand data requirements and provide fit for use solutions
• Utilize coding standards and best practices for efficient and reusable services and components
• Implement and optimize data engineering best practices, including query optimization, version control, and code reviews
• Utilize end-user visualization tools like Power BI for data presentation
• Implement data governance policies to ensure data security, compliance, and quality standards
• Maintain comprehensive documentation for data architecture, processes, and workflows
• Build strong relationships and work collaboratively within multidisciplinary teams
• Stay updated on emerging technologies and tools to enhance data engineering practices and infrastructure

Qualifications/Experiences:

• Bachelor's degree in Computer Science, Information Systems, or a related field, a Master’s degree is a plus
• Proficiency in programming languages such as Python, Java, R or Scala
• Strong understanding of SQL and NoSQL databases (e.g., PostgreSQL, MongoDB, Cassandra).
• Experience with ETL tools and frameworks (e.g., Apache NiFi, Talend, Informatica).
• Knowledge of big data technologies (e.g., Hadoop, Spark, Kafka).
• Experience with cloud services (e.g. Google Cloud Platform, Azure, AWS) for data storage and processing.
• Hands-on knowledge of PowerBI and GitHub Actions.
• Understanding of data modeling techniques and best practices
• Familiarity with data engineering best practices, including query optimization and version control.
• Knowledge of modern application development frameworks and tools
• Experience with end-user visualization tools like Power BI.
• Strong problem-solving abilities, communication skills, and a collaborative mindset
• Excellent communication skills and the ability to work effectively in diverse, multidisciplinary teams

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 and best for P&G 

Watch this video to learn more about our full recruiting process: https://www.youtube.com/watch?v=0bicvbpy0gI

Kindly be advised that at P&G, employment is exclusively extended on the basis of an "Umowa o Pracę" (Full-time Employment Contract). Apply only if you agree to these conditions.