Top Data Engineer Jobs in New Zealand

The Senior Data Engineer will design, build, and maintain scalable data pipelines, collaborate with teams, ensure data quality, and evolve data practices.

Build, maintain, and improve SQL/Python data pipelines and analytical datasets. Collaborate with analytics, data science, product, and engineering teams to ensure data reliability, observability, testing, and documentation in a cloud-based environment.

Design, build, and maintain scalable batch and streaming data pipelines and domain-oriented data models using dbt and cloud warehouses. Ensure data quality, documentation, and usability for analytics, ML, and reporting while collaborating with Product, Analytics, and ML teams.

The Data Engineer will design, build, and maintain data pipelines and platforms, ensuring data is reliable and accessible for business insights. Key tasks include optimizing SQL queries, data modeling, and collaborating with stakeholders for data governance and analytics solutions.

The Azure Data Engineer role involves designing and implementing data solutions on Azure, working with multiple projects, and consulting with clients. Key responsibilities include developing data architectures, continuous integration practices, and engaging in training and continuous improvement initiatives.

Lead design, build, and optimisation of enterprise data pipelines and architectures. Provide technical leadership, mentor engineers, partner with architecture teams, evaluate systems for improvements, and deliver scalable cloud data platform solutions (lakes, warehouses, lakehouse).

Lead development of innovative, high-quality applications while collaborating with cross-functional teams and establishing engineering standards. Requires strong knowledge in Java and related technologies.

Lead design, development, deployment, and continuous improvement of cloud-native data and analytics solutions on Azure. Act as a hands-on technical lead building scalable, secure end-to-end data platforms using Spark/Databricks, Python/PySpark, and orchestration tools. Ensure CI/CD, DevOps, automation, code quality, mentor team members, resolve complex technical issues, and collaborate with stakeholders and vendors to drive platform evolution.

Build, deploy, and support cloud-native data and analytics solutions on Azure. Design and maintain data pipelines, ingestion, transformation and integration processes using Apache Airflow. Ensure data quality, monitoring, CI/CD and infrastructure-as-code. Troubleshoot platform issues, collaborate with cross-functional teams, and contribute to platform improvements and documentation.

Seeking Senior and Intermediate Data Engineers to enhance data platform capabilities, deliver technical projects, and mentor team members in a collaborative environment.

As a Quality Assurance Engineer at Foodies, you will ensure data accuracy and reliability by testing ETL/ELT pipelines, validating complex datasets, and promoting data quality in Agile delivery squads.

The Senior Data Engineer builds real-time data pipelines, implements data mesh architectures, and engages with clients to enhance data interactions, focusing on creating impactful data solutions.

As a Data/Analytics Engineer, you will lead data architecture projects, ensure data quality, implement analytics algorithms, and integrate third-party data systems.

The Senior Data Engineer/Consultant will lead data engineering engagements, focusing on Databricks solutions, mentoring teams, and delivering high-quality data pipelines and integrations.

Lead development of domain data products, improve data governance and reliability, partner cross-functionally for analytics and ML use cases, mentor data engineers, and optimize data solutions.

The Senior Data Engineer will lead data quality assurance, manage and enhance the analytics platform, design self-service data products, deliver analytics capabilities, and mentor junior team members.

The Data Implementation Engineer will manage data integration for accesso Intelligence, ensuring data quality and system health while collaborating with customers and internal teams to enhance API and third-party system integrations.