Data Engineer

Overview

CHEP helps move more goods to more people, in more places than any other organization on earth via our 347 million pallets, crates and containers. We employ approximately 13,000 people and operate in 60 countries. Through our pioneering and sustainable share-and-reuse business model, the world’s biggest brands trust us to help them transport their goods more efficiently, safely and with less environmental impact.

What does that mean for you? You’ll join an international organization big enough to take you anywhere, and small enough to get you there sooner. You’ll help change how goods get to market and contribute to global sustainability. You’ll be empowered to bring your authentic self to work and be surrounded by diverse and driven professionals. And you can maximize your work-life balance and flexibility through our Hybrid Work Model.

Job Description

Key Responsibilities May Include :

• Design and build reusable components, frameworks, and libraries at scale to support analytics products and enhance data processing efficiency and scalability
• Develop, construct, and maintain highly scalable data pipelines and processing systems, integrating programming languages and tools to meet evolving business needs.
• Implement complex automated workflows and routines using workflow scheduling tools, ensuring efficient data ingestion and consumption.
• Optimize data quality, reliability, and scalability through continuous integration, test-driven development, and use of advanced data engineering practices
• Collaborate with business and technology stakeholders to design and implement data product features, identifying opportunities for improvement in data accessibility and integration
• Conduct root cause analysis and troubleshoot complex data challenges, providing scalable solutions that address operational and product needs.
• Lead disaster recovery planning and ensure all data models and architectures are designed to meet business requirements while reducing system complexity and costs.
• Mentor and guide data engineers in adopting and maintaining data engineering standards and best practices to foster a strong, expert data solutions community.

Remote Type

Fully Remote

Skills to succeed in the role

Active Learning, Adaptability, Amazon Web Services (AWS), Apache Airflow, Cross-Functional Work, Curiosity, Data Architecture, Data Engineering, Data Integration, Data Integrity, Data Processing, Data Security, Digital Literacy, Emotional Intelligence, Empathy, Initiative, Java, Problem Solving, Python (Programming Language), Scala (Programming Language)

We are an Equal Opportunity Employer, and we are committed to developing a diverse workforce in which everyone is treated fairly, with respect, and has the opportunity to contribute to business success while realizing his or her potential. This means harnessing the unique skills and experience that each individual brings and we do not discriminate against any employee or applicant for employment because of race, color, sex, age, national origin, religion, sexual orientation, gender identity, status as a veteran, and basis of disability or any other federal, state, or local protected class.

Individuals fraudulently misrepresenting themselves as Brambles or CHEP representatives have scheduled interviews and offered fraudulent employment opportunities with the intent to commit identity theft or solicit money. Brambles and CHEP never conduct interviews via online chat or request money as a term of employment. If you have a question as to the legitimacy of an interview or job offer, please contact us at

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