Newell Brands is a leading $8.5B consumer products company with a portfolio of iconic brands such as Graco®, Coleman®, Oster®, Rubbermaid® and Sharpie®, and 28,000 talented employees around the world. Our high-performance culture, unparalleled curiosity about the world around us, and talented people fuel our success. Our culture is enabled through our core values which guide all we do and how we win as One Newell. They are Integrity, Teamwork, Passion for Winning, Ownership & Leadership.

The Data Engineer will be a pivotal member of the supply chain team, dedicated to optimizing data management and analytics to improve operational efficiency and decision-making. This role demands a combination of technical prowess, business insight, and a comprehensive understanding of supply chain mechanisms.

Responsibilities:

• Design, develop, and maintain scalable data pipelines and ETL processes to support supply chain analytics and reporting.

• Collaborate with cross-functional teams, including supply chain managers, data scientists, and IT, to understand data requirements and deliver solutions.

• Ensure data quality, integrity, and security across all data sources and systems.

• Implement and optimize data storage solutions, including data warehouses and data lakes.

• Develop and maintain documentation for data processes, architecture, and workflows.

• Monitor and troubleshoot data pipeline performance, ensuring timely and accurate data delivery.

• Stay up-to-date with industry trends and best practices in data engineering and supply chain management.

Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or a related field.

• 3+ years experience as a Data Engineer, preferably in the supply chain or logistics industry.

• Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL).

• Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, Google Cloud).

• Strong programming skills in languages such as Python, Java, or Scala.

• Familiarity with data visualization tools (e.g., Tableau, Power BI) is a plus.

• Excellent problem-solving skills and attention to detail.

• Strong communication and collaboration skills.