Team Lead Data Engineering

CHEP helps move more goods to more people, in more places than any other organization on earth via our 300 million pallets, crates and containers. We employ 11,000 people and operate in more than 55 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

• Global, ASX-listed market leader in Logistics & Supply Chain | One of the World’s most sustainable companies  
• Dynamic, collaborative team that’s shaping the future of digital supply chains
• Lead a small, growing team (1) in designing & implementing scalable, secure data pipelines and architectures, ensuring data integrity and governance, and driving cost-efficient data solutions

Are you a strategic leader with a passion for data engineering and a commitment to data security and governance? Do you excel in designing and maintaining robust data architectures that drive business value?

As part of the innovative Brambles Data & Analytics team, reporting directly to the Analytics & Data Science Lead for AMETA (APAC + IMETA), you will take the lead in creating and optimizing complex data models, ensuring data quality, security, and compliance. Your expertise will help shape the data strategy and architecture, supporting business decisions across the organization.

This position can either be based in Australia or South Africa.

What You’ll Do:

• Leadership and Strategy: Oversees the construction and maintenance of highly scalable, robust and fault-tolerant data management and processing systems. Sets the strategic direction for the data engineering team in alignment with organizational goals.
• Data Models and Architecture: Directs the team in creating and optimizing complex data models that serve as the backbone for data as a product. Sets architectural guidelines to ensure these data models meet all business requirements, reduce system complexity and are aligned with data governance policies.
• Data as a Product: Ensures that the data generated or processed is of high quality, secure and reliable enough to be considered a stand-alone product. Focuses on data usability and prepares data for analytical and operational uses, thereby creating value for business units and clients.
• ETL and Data Acquisition: Manages and directs the ETL (Extract, Transform & Load) processes,
• identifies new opportunities for data acquisition and ensures that data pipelines are secure, efficient and aligned with governance policies.
• Cost Optimization and Efficiency: Continuously reviews system efficiency and resource utilization to identify areas for cost optimization while maintaining or improving data quality and security.
• Data Security and Governance: Implements and enforces stringent data governance and security protocols, ensuring compliance with organizational and regulatory standards.
• Disaster Recovery: Manages the planning and implementation of Disaster Recovery plans and protocols, ensuring rapid data recovery while minimizing loss in the event of a failure.
• Team Development: Mentors, trains and develops team members to foster a community of data
• engineering experts who follow best practices, contribute to innovation and uphold data integrity and security.
• Cross-Functional Collaboration: Works closely with stakeholders, including product managers, business units and other technical teams, to ensure that the data engineering efforts are aligned with broader organizational goals and projects.
• Audit and Compliance: Regularly conducts audits to ensure data integrity, security and governance and coordinates with compliance teams to address any gaps or vulnerabilities.

What will ensure your success in the Role:

• Educational Background: Relevant tertiary qualifications in Computer Science, Statistics, or related technical fields.
• Extensive Experience: Proven track record in Data Modelling and Data Engineering.
• Technical Proficiency:
  • Expertise in data-related tools and technologies such as SQL, VBA, Python, R, Hadoop, Hive, Spark, Tableau, QlikView, and Power BI.
  • Advanced SQL knowledge and experience with relational databases and query authoring.
  • Familiarity with cloud technologies (AWS S3, RedShift) and integration tools (SSIS, AWS Glue, PySpark).
  • Data modeling skills in SQL Server Analysis Services and Power BI.
• Analytical Skills: Ability to understand business problems and frame them into a data-driven environment.
• Data Architecture Knowledge: Understanding of data architecture, engineering methodologies, and best practices.
• Communication Skills: Excellent written and verbal skills to convey complex technical information to both technical and non-technical stakeholders.
• Problem-Solving Abilities: Strong analytical skills to tackle complex problems and lead a team in implementing solutions.
• Collaboration and Teamwork: Ability to work cohesively with colleagues and stakeholders, utilizing tools like JIRA, Lucid, and Zephyr Scale.
• Leadership and Mentorship: Experience in mentoring and developing team members, and presenting results to senior stakeholders.

#LI-CG1

Preferred Education

Preferred Level of Work Experience

Remote Type

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 recruitment@brambles.com.