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Data Engineer: AI‑Driven Pipelines & Analytics
The Data Engineer will design, build, and maintain robust data pipelines and orchestration systems to support analytics, BI, and customer reporting. The role involves end-to-end data troubleshooting, implementing monitoring, and mentoring junior team members.
Senior Data Engineer
Senior Data Engineer builds and evolves NZTA’s data platforms and pipelines to support analytics, AI, and better transport outcomes for New Zealand.
Data Engineer: Databricks Pipelines & Platforms
The Data Engineer will design, build, and optimize data pipelines and platforms to support enterprise analytics. The role involves collaborating with cross-functional teams to ensure data quality, security, and scalability.
Manager - Data Engineering
The Manager of Data Engineering will lead the delivery and operation of enterprise data platforms and pipelines to support data-driven decision-making. This role involves managing data engineering teams, ensuring platform scalability and security, and collaborating across IT and business functions.
Principal Data Engineer
This role is for a Principal Data Engineering Consultant to design and deliver modern data platforms for various clients using Microsoft Fabric, Azure, and Databricks. The position combines hands-on engineering with technical leadership, mentoring, and direct client engagement.
Full-Stack Developer
Build full-stack software for real-time gas monitoring analytics, integrating devices, APIs, and user interfaces with TypeScript, Node.js, React, and event-driven architecture.
Senior Azure Cloud Platform Engineer: Data & Analytics, IaC
Design, build, and maintain Azure cloud infrastructure for Data & Analytics workloads using IaC, Terraform, and DevOps practices across IaaS, PaaS, and SaaS environments.