Top Data Engineer Jobs in New Zealand

As a Data Engineer, you'll develop high-quality datasets, build data pipelines, collaborate with teams, and ensure data quality and usability.

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.

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

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.

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.

The Senior Data Engineer will design and maintain data pipelines, implement Medallion architecture, develop ETL/ELT processes, and improve data quality while collaborating with analysts to derive insights from data.

The Principal Engineer - Data will architect and build a modern data platform to support a next-generation payroll product, focusing on real-time data pipelines and multi-tenant security for enterprise customers. Responsibilities include mentoring, building data models, and ensuring compliance with data standards.

As a Junior Data and AI Engineer, you'll build and maintain data pipelines, improve data quality, and enhance data platform infrastructure. This role impacts business decisions by ensuring data reliability across ZURU's operations.

The role involves data collection for model training, utilizing cloud infrastructure, collaborating on dataset roadmaps, and finding new audio data sources.

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.

As a Senior Data Engineer at FreshBooks, you will design and build scalable data pipelines on GCP, partner with multiple teams, and mentor engineers.

As Lead Data Engineer, you will direct and execute data engineering strategies, lead a team, and deliver scalable data solutions for business insights.

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.

Founding technical leader for the data platform: build and operate ingestion, enrichment, batch and realtime pipelines; design storage, modeling, and governance; integrate LLM/ML workflows and vector search; hire and lead a small data team; and collaborate with engineering, product, and leadership to productionize data for valuations, analytics, and APIs.

The role involves managing large-scale unstructured data for ML systems, contributing to the entire product lifecycle, and building reliable system software.

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 Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.