Senior Data Analyst

Description & RequirementsSmurfit Westrock (NYSE:SW) is a global leader in sustainable paper and packaging solutions. We are materials scientists, packaging designers, mechanical engineers and manufacturing experts with a shared purpose: Innovate Boldly. Package Sustainably. Guided by our values of integrity, respect, accountability and excellence, we use leading science and technology to move fiber-based packaging forward.Our Technology Organization Is Transforming How We Work At Smurfit Westrock. We Align With Our Businesses To Deliver Innovative Solutions ThatAddress specific business challenges, integrate processes, and create great experiencesConnect our work to shared goals that propel Smurfit Westrock forward in the Digital AgeImagine 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.The OpportunityAs a Senior Data Engineer/Analyst, 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 Smurfit WestrockArchitect 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 SucceedEducation: Bachelor’s degree in computer science or similarAt least 6 years of strong Data Engineering experienceHands-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 OfferCorporate culture based on loyalty, integrity, & respect.Comprehensive training with numerous learning and development opportunitiesAn 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.Candidates are required to undergo a drug screening after receiving a conditional job offer, but before starting employment.Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status or other characteristics protected by state or federal law.