Job Description

Our technology organization is transforming how we work at WestRock. We align with our businesses to deliver innovative solutions that:

• Address specific business challenges, integrate processes, and create great experiences
• Connect our work to shared goals that propel WestRock forward in the Digital Age
• Imagine how technology can advance the way we work by using disruptive technology

We are looking for forward thinking technologists that can accelerate our focus areas such as building stronger foundational technology capabilities, reducing complexity, employing digital transformation concepts, and leveraging disruptive technology.

As a Lead Data Engineer, you will play a pivotal role in building and scaling modern data infrastructure that powers decision-making across production, supply chain, and operations. Helps to define and analyze business requirements for Enterprise scale reports. Analyzes and evaluates business use cases for data engineering problems and helps design and develop processing solutions with ETL Cloud based technologies.

How you will impact WestRock:

• Architect and implement scalable data pipelines using Palantir Foundry (pipelines, workshops, ontology) to unify and transform operational data.
• Design and develop robust data workflows using Python, Apache Airflow, and Apache Spark to support real-time and batch processing needs.
• Build and deploy solutions on cloud platforms (AWS or Azure), ensuring high availability, security, and performance.
• Collaborate with data scientists, analysts, and operations teams to deliver actionable insights and operational tooling.
• Define and enforce data engineering best practices, including CI/CD automation, version control (Git), and testing strategies.
• Mentor junior developers, conduct code reviews, and help shape the technical roadmap for the data platform.

What you need to succeed:

• Education: Bachelor’s degree in computer science or similar
• At least 6 years of strong Data Engineering experience
• Hands-on experience with Palantir Foundry , including pipelines, ontology modeling, and workshop development.
• Strong programming skills in Python or Java , with experience building and maintaining production-grade data pipelines.
• Proficiency in Apache Airflow and Apache Spark for workflow orchestration and large-scale data processing.
• Proven experience deploying data solutions on AWS or Azure , with strong understanding of cloud-native services.
• Familiarity with Git for version control and CI/CD pipelines for automated testing and deployment.
• Demonstrated ability to mentor junior engineers , lead projects, and work independently in a fast-paced environment.
• Good communication skills, with the ability to collaborate effectively across technical and non-technical teams.
• Good analytical and troubleshooting abilities.

What we offer:

• Corporate culture based on integrity, respect, accountability and excellence
• Comprehensive training with numerous learning and development opportunities
• An attractive salary reflecting skills, competencies and potential
• A career with a global packaging company where Sustainability, Safety and Inclusion are business drivers and foundational elements of the daily work.

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