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Salary: 145000 Data Engineer / Permanent / Auckland / $150k NZD About the Company Our client is a Private Equity backed healthcare services organisation operating across Australasia. They're mid transformation,…
Designs and builds cloud data pipelines on AWS, integrates data lakes and Snowflake, and deploys generative AI and Agentic AI solutions for an industrial high-tech group.
Designs and builds scalable data platforms using Snowflake, Databricks, and ETL/ELT tools for global clients, while advising stakeholders on architecture and governance.
Build and maintain scalable data pipelines and GenAI platforms on AWS using Spark, Iceberg, and Bedrock to power analytics, AI, and RAG systems.
Senior AWS Data Platform Engineer builds and maintains a modern AWS-based data lake/lakehouse to power generative AI and customer/ESG analytics for a major bank.
SRE to improve reliability and performance of Veepee’s data platform, migrating to a lakehouse architecture while operating Kubernetes-based services.
Build and maintain Microsoft Fabric and Azure-based analytics platforms for clients, designing semantic models, pipelines, and DAX/SQL solutions to deliver robust, production-grade data insights.
Designs and maintains scalable data pipelines using PySpark and Delta Lake on Databricks to enable reliable data enrichment across platforms.
Lead the design and build of a robust, scalable data/ML platform for finance-sector clients, setting technical foundations and guiding high-caliber teams.
Design and build modern data and AI pipelines (data lake, lakehouse, data mesh) and deploy GenAI/BI solutions for international clients.
Build and optimize scalable data pipelines on Databricks and cloud platforms, ensuring data quality and performance for enterprise clients.
Senior Data Engineer builds and operates a Spark-based Lakehouse platform (Databricks, Delta Lake, Azure) using Scala/Spark pipelines and cloud infrastructure.
Designs and optimizes Azure Lakehouse data pipelines for AI projects, ensuring data quality and preparing datasets for analytics and AI consumption.
Senior Data Engineer designs and builds scalable data platforms (data lakes, warehouses, pipelines) for clients, using cloud tools (GCP/Azure), ETL/ELT (dbt, Snowflake), SQL and Python to deliver reliable, high-performance data solutions.
Design and maintain high-volume IoT data pipelines on AWS, combining real-time and batch processing with Spark/Flink, and expose analytics-ready APIs in Python.
Consultant Data Engineer builds and deploys secure, FinOps-optimized data pipelines on Microsoft Fabric and Azure for clients, designs scalable solutions, and trains teams on best practices.
Leads end-to-end Microsoft Fabric and Azure Data architectures for clients, designing pipelines, governance, and analytics solutions while mentoring teams and delivering training.
Build and maintain scalable data pipelines on Azure and Microsoft Fabric, from ingestion to analytics, using Azure Data Factory, Synapse, and Fabric components.
Leads data-architecture and engineering projects for banks and insurers, building modern data platforms (lakes, warehouses, cloud-native) and scalable pipelines to support analytics and operations.
Build and deploy secure, scalable data pipelines on Microsoft Fabric and Azure for clients in finance, AI, and devtools, while mentoring teams and driving FinOps best practices.
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