Data Engineering Jobs in New Zealand
There are 293 open Data Engineering jobs in New Zealand on freehire right now. 182 of them were posted recently. The skills employers ask for most often are analytics, data-engineering and cloud.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| NZD | year | NZ$140,620 | NZ$148,480 | NZ$162,030 | 22 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- analytics 58%
- data-engineering 54%
- cloud 52%
- data-pipelines 49%
- sql 47%
- python 41%
- ai 35%
- ci-cd 31%
How the work is done
- Hybrid 56 · 19%
- Onsite 20 · 7%
- Remote 14 · 5%
Visa sponsorship offered in 4% of the 28 postings that state a position on it.
Seniority
- Senior 119
- Lead 44
- Principal 11
- C-level 3
- Intern 3
Who is hiring
- 1000+ employees 24
- 501-1000 employees 22
- 11-50 employees 5
- 51-200 employees 5
- 201-500 employees 2
Remote Lead Data Engineer - Scalable Pipelines & Cloud
Lead a team building and maintaining scalable data pipelines and cloud infrastructure for media and travel platforms, ensuring data quality and reliability.
Senior Microsoft Fabric Data Engineer - Azure Data
Designs and optimizes data pipelines using Microsoft Fabric, SQL, and Python to ensure high-quality data across all Fabric workloads.
Data Engineer: Power BI & SQL Pipelines (Hybrid)
Designs and maintains data pipelines using SQL and Power BI to deliver trusted analytics for business decisions in a global appliance manufacturer.
Azure Data Engineer for AI-First Data Platforms
Designs and builds Azure-based data pipelines and platforms using Python and Microsoft tools to support AI-first solutions for clients.
Senior Data Engineer: Cloud Platforms & Streaming
Design and deliver modern data platforms for clients using Snowflake and Databricks across AWS, Azure, and GCP.
Senior Data Engineer, Cloud Data Platform Innovator
Senior Data Engineer building scalable cloud data platforms and real-time pipelines for clients using cloud warehouses, streaming tech, and ML workflows.
Data Engineer (MS Fabric)
Builds and delivers Microsoft Fabric-based data platforms for NZ clients, designing lakehouses, ETL pipelines, and governance using SQL, Python, and Azure services.
Data Engineer - Simply Energy
Build and maintain data pipelines and warehouses for an energy company, enabling analytics that drive decarbonisation and operational decisions.
Databricks Data Engineer – Cloud Analytics & ELT
Builds cloud-based ELT pipelines and semantic models in Databricks to power analytics and decision-making for a climate-focused infrastructure firm.
Group IT Data Engineer – Data & AI
Builds and improves data pipelines and semantic models on Azure Databricks using Python or SQL to support analytics and reporting across Fulton Hogan.
Databricks Data Engineer - Data & AI Platform & Analytics
Builds Databricks-based ELT pipelines and semantic models in Python/SQL to power analytics and AI workloads for a large infrastructure firm.
Group IT Data Engineer - Data & AI
Builds and improves data pipelines and semantic models on Azure Databricks using Python/SQL to support analytics and reporting across a construction and infrastructure business.
Senior Data Engineer - Scalable Data Platforms
Design and maintain scalable data pipelines, transform data with dbt, and manage cloud warehouses on Snowflake and BigQuery for a modern data platform.
Senior Data Engineer Auckland, New Zealand Data
Senior Data Engineer builds and scales cloud data pipelines, warehouses, and models for a global travel-tech platform using Snowflake, BigQuery, dbt, and Azure/Google Cloud.
Hybrid Data Engineer — Build Scalable Data Solutions
Builds and maintains scalable data pipelines and products for a bank, working hybrid in Auckland or Wellington.
Senior Data Engineer — Microsoft Fabric Lakehouse
Design and build scalable data platforms using Microsoft Fabric, focusing on Lakehouses and OneLake with Python, PySpark, and SQL.
Senior Data Engineer: Flexible Cloud Data Solutions
Senior Data Engineer builds cloud data pipelines and products for analytics using Snowflake, Python, Airflow, AWS, Git, CI/CD and automated testing to support Kiwibank’s reporting and data solutions.