Company Overview

The primary objective of this role is to ensure our logistics systems—from CRM to freight and warehousing—operate on a unified, high-performance data backbone. The Database Specialist will be responsible for developing and maintaining data pipelines, storage systems, data integration processes, and analytics-ready data structures across the organization. The position also supports the ongoing transformation of our operations through cloud technologies and data-driven automation.

Key Responsibilities

1. Data Pipeline Development

  • Design and maintain automated data pipelines to collect and move data from multiple sources (CRM, freight system, warehousing, etc.) to centralized repositories.
  • Ensure efficient data flow between operational systemsand analytics platforms.

2. Data Modeling and Architecture

  • Develop logical and physical data models to support logistics operations and analytical applications.
  • Design and maintain scalable data architecture, including data warehouses and data marts, to enable business intelligence and reporting.

3. Data Storage and Management

  • Manage cloud and on-premise databases, ensuring efficient, secure, and reliable storage of structured and unstructured data.

4. Data Integration

  • Integrate data across logistics functions (CRM, communication portals, warehousing, customs clearance, delivery, and mapping) into a unified system.
  • Develop APIs and data connectors to support seamless system interoperability.

5. Data Quality and Governance

  • Implement data quality frameworks to ensure completeness, consistency, and accuracy of business- critical data.
  • Establish and enforce data governance policies aligned with privacy, regulatory, and operational standards.

6. Collaboration and Stakeholder Engagement

  • Work closely with business analysts, data scientists, software engineers, and logistics teams to understand data requirements and deliver actionable solutions.
  • Provide expert input on data architecture in cross- functional ICT and business transformation projects.

7. Performance Optimization

  • Monitor and tune data systems to ensure optimal performance under varying loads.
  • Anticipate scalability needs and proactively adapt infrastructure to support business growth.

8. Troubleshooting and Support

  • Identify, diagnose, and resolve issues in data pipelines, ETL processes, and production databases.
  • Respond to incidents and perform root cause analysis toprevent recurrence.

Job requirement: applicant must meet following requirement to apply for this job

Education and Experience

  • Bachelor’s degree in Computer Science, Information Technology, or a related field; or
  • Minimum 3 years’ experience in a data engineering, database specialist, or system architecture role—preferably in logistics, warehousing, or E-commerce sectors.

Technical Skills

  • Proficiency in database management systems such as MySQL, PostgreSQL, SQL Server, or Oracle.
  • Strong experience in ETL frameworks, data modeling, and warehousing technologies.
  • Knowledge of cloud data platforms (e.g., AWS RDS, Redshift, Azure SQL) and data orchestration tools.
  • Familiarity with Python, SQL, or similar scripting languages for data handling.
  • Understanding of data governance, privacy compliance, and security protocols.

Other details: 

Primary address of work: Auckland
Vacancy number: 1
Employment type: Permanent full time
Minimum hours per week: 30 Hours
Maximum hours per week: 40 Hours
Minimum hourly rate (low salary range): $50/hour

Maximum hourly rate (high salary range): $55/hour

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