Data Engineer

Brambles; Sandton; On-site; ZAR 600,000 - 850,000; Full time

Job summary

A leading company in logistics and supply chain is seeking a Data Engineer to enhance data models and ensure compliance. Join a collaborative team in Sandton and contribute to data-driven decision-making while ensuring data integrity and security. This hybrid role offers opportunities for professional growth in a vibrant environment.

Qualifications

• 7+ years experience in similar roles within multinational environments.
• Advanced SQL skills and experience with relational databases.
• Familiarity with big data pipelines and cloud solutions.

Responsibilities

• Create and maintain optimal data pipeline architecture.
• Develop analytics tools for operational efficiency insights.
• Collaborate with data experts to enhance system functionality.

Skills

Active Learning

Adaptability

AWS

Apache Airflow

Cross-Functional Work

Curiosity

Data Architecture

Data Engineering

Data Integration

Data Security

Digital Literacy

Emotional Intelligence

Empathy

Initiative

Java

Problem Solving

Python

Scala

Education

Relevant tertiary qualifications in Computer Science

Tools

Power BI

Apache Spark

AWS services

Data integration tools

SSAS

Job description

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 programs.

Job Description

As detailed in the attached 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

As part of the innovative Brambles Data & Analytics team, reporting directly to the Team Lead Data Engineering, you will take the lead in creating and optimizing complex data models, ensuring data quality, security, and compliance. Your expertise will support business decisions across the organization.

This position is based in South Africa.

What You’ll Do :

• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets to meet business requirements
• Identify, design, and implement process improvements, automate manual processes, optimize data delivery, and redesign infrastructure for scalability
• Build infrastructure for data extraction, transformation, and loading using SQL and AWS technologies
• Develop analytics tools to provide insights into operational efficiency and performance metrics
• Support stakeholder teams with data infrastructure needs
• Maintain data security and documentation through a centralized analytics data lake for the APAC region
• Create data tools for analytics and data science teams
• Collaborate with data experts to enhance system functionality
• Build dashboards and reports to aid senior management decision-making
• Design visual reports and dashboards using visualization tools

What will ensure your success in the Role :

• Relevant tertiary qualifications in Computer Science, Statistics, or related fields
• 7+ years experience in similar roles within complex, multinational environments
• Advanced SQL skills and experience with relational databases
• Experience with data modeling, Power BI, and other visualization tools
• Experience with big data pipelines and architectures, preferably Apache Spark
• Proficiency in cloud solutions like Azure/AWS
• Knowledge of SCRUM/Agile methodologies
• Understanding of machine learning techniques and their applications
• Experience performing root cause analysis and process improvements
• Familiarity with AWS services and data integration tools
• Knowledge of data mining and modeling tools such as SSAS
• Programming skills in Python, Java, Scala, etc.

Remote Type: Hybrid Remote

Skills to succeed in the role:

Active Learning, Adaptability, AWS, Apache Airflow, Cross-Functional Work, Curiosity, Data Architecture, Data Engineering, Data Integration, Data Security, Digital Literacy, Emotional Intelligence, Empathy, Initiative, Java, Problem Solving, Python, Scala

We are an Equal Opportunity Employer committed to diversity and fair treatment of all employees and applicants.