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Designs and builds data warehouses, ETL pipelines, and dashboards using SQL, Databricks, and visualization tools to deliver business insights.
Designs and builds data warehouses and ETL pipelines using Databricks and SQL, then delivers insights via dashboards in an agile environment.
Build and maintain AI-ready data platforms for an airline, enabling GenAI agents, semantic retrieval, and automated workflows that power analytics and decision-making.
Build and modernize LIC’s data platform using Snowflake, ETL/ELT, and cloud tools to improve data accessibility and self-service for analytics across the agri-tech co-op.
Build and maintain Power BI dashboards and data pipelines to inform business decisions across manufacturing, operations, and corporate functions.
Build and maintain Power BI dashboards and data models to turn business data into actionable insights, while supporting modern data pipelines and cloud platforms like Microsoft Fabric or Azure.
Design and build scalable data pipelines and frameworks to enable BNZ’s core banking teams to make data-driven decisions using SQL, Python, and modern ELT tools.
Designs and maintains cloud data pipelines on Azure, builds semantic models and Power BI reports, and ensures reliable, AI-ready data for analytics and governance.
Design and build scalable data pipelines for a major bank, collaborating with product and analytics teams to deliver data solutions that empower decision-making.
Design and deliver modern data platforms on AWS, Azure, and Google Cloud, guiding architecture decisions and enabling analytics for clients.
Senior Data Engineer builds and modernizes NZ Customs’ analytics platform using Microsoft Fabric, Power BI, PySpark and Delta Lake to replace legacy ETL systems.
Designs and builds scalable data pipelines and Lakehouse models using Microsoft Fabric, Delta Lake, SQL, and PySpark to modernize analytics and reporting for NZ Customs.
Builds systems that process satellite radar imagery to generate sea condition, maritime activity, and environmental insights for maritime intelligence.
Build production-grade ML systems to detect retail crime patterns using computer vision, NLP, and graph analytics, deploying models on a cloud-native stack to power real-time alerts for global retailers.
Principal Data Engineer designs and builds scalable cloud data pipelines and warehouses for T-Mobile’s ad-tech platform, using Snowflake, Databricks, and AWS services to power analytics and audience solutions.
Design and maintain the network infrastructure powering Sharon AI’s high-performance compute and AI workloads, ensuring low-latency, secure connectivity across data centers and clusters.
Build and maintain data platforms, optimize pipelines, and support business units with data solutions to enhance strategy and productivity.
Designs and maintains high-performance data-center networks for AI workloads, including routing, switching, and load balancing to ensure low-latency compute environments.
Build and deploy production-grade Generative AI services in Python, integrating LLMs, agents, and vector databases to power personalised travel experiences and internal tools at Air New Zealand.
Lead and optimize modern data platforms for New Zealand’s health system using Snowflake, DBT, Airflow, and GitHub to build scalable pipelines and reliable data solutions.
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