Supply Chain Engineer (Junior Engineering Technologist)

apartmentH3 NZ Limited placeAuckland calendar_month 

Supply Chain Engineer (Junior Engineering Technologist)

Reports to: Operations Manager / General Manager
Location: Auckland, New Zealand
Hours of Work: Full-time (30-40 hours per week, Monday–Friday)

Remuneration: NZD $70,000

Company Overview

H3 NZ Limited is a New Zealand–based enterprise specialising in the importation, manufacturing, and distribution of high-quality consumer and building products — including lighting solutions, Petkit smart products, Hoto tools, and premium construction materials.

Our company integrates advanced digital and engineering technologies to optimise supply-chain performance across multiple product categories and global markets.

Position Purpose

The Supply Chain Engineer is responsible for the design, implementation, monitoring, and continuous improvement of H3 NZ’s end-to-end supply-chain systems — encompassing order placement, material procurement, manufacturing, warehousing, logistics, and distribution to distributors and customers.

This role will also lead the integration of artificial intelligence (AI) and data-driven technologies into supply-chain operations to improve forecasting, inventory control, cost efficiency, and decision-making.

Key Responsibilities
  1. Supply-Chain Design & Process Engineering
  • Map, design, and optimise end-to-end workflows covering procurement, production, warehousing, shipping, and distribution.
  • Implement digital process-management tools and predictive analytics for operational visibility and performance tracking.
  • Develop standard operating procedures (SOPs) and ensure compliance with quality, safety, and legal standards.
  1. AI System Integration & Database Engineering
  • Develop and maintain a centralised supply-chain database integrating procurement, stock control, order tracking, and logistics data.
  • Collaborate with IT engineers to design and train AI models for demand forecasting, supplier performance analysis, and shipping-route optimisation.
  • Implement machine-learning algorithms to predict material shortages, lead-time variances, and cost-fluctuation risks.
  • Support automation of reporting dashboards and real-time KPI monitoring across production and logistics systems.
  1. Procurement and Supplier Management
  • Evaluate and negotiate with domestic and international suppliers to ensure quality, pricing, and reliability.
  • Oversee purchase-order systems and supplier-performance tracking using data-analytics tools.
  • Monitor market trends and material-cost variations to inform procurement strategies.
  1. Manufacturing and Production Support
  • Coordinate with in-house production and contract manufacturers to ensure efficient workflows and material flow.
  • Apply engineering principles to identify bottlenecks and implement data-driven process improvements.
  1. Warehousing and Inventory Management
  • Design optimal storage and retrieval systems for multiple product lines (lighting, Petkit, Hoto, building materials).
  • Use AI-based forecasting to maintain optimal stock levels and reduce excess inventory.
  • Ensure compliance with H&S, quality-control, and sustainability standards.
  1. Logistics and Distribution
  • Plan and monitor international shipping, customs clearance, and domestic delivery schedules.
  • Use predictive algorithms to optimise freight scheduling, container utilisation, and distribution timeframes.
  • Analyse carrier performance and logistics costs to identify savings opportunities.
  1. Performance Analysis and Reporting
  • Establish performance metrics (cost, lead time, on-time delivery, accuracy) and generate analytical reports.
  • Use data-visualisation tools (e.g. Power BI, Tableau) to present insights to management and recommend actions.
Qualifications and Experience
  • Bachelor’s degree (or higher) in Supply Chain Engineering, Engineering, Logistics, Data Science, or related field.
  • Or Minimum 3–5 years’ experience in supply-chain or process-engineering roles.
  • Demonstrated exposure to AI technologies, database systems, or automation projects is highly desirable.
  • Experience in industries such as lighting, consumer electronics, or building materials is advantageous.

To submit your application, click Apply Now!!!

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