Data Engineering Jobs in New Zealand
There are 292 open Data Engineering jobs in New Zealand on freehire right now. 181 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 50%
- sql 48%
- python 41%
- ai 35%
- ci-cd 32%
How the work is done
- Hybrid 55 · 19%
- Onsite 20 · 7%
- Remote 14 · 5%
Visa sponsorship offered in 4% of the 28 postings that state a position on it.
Seniority
- Senior 118
- 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
Databricks Data Engineer: Lakehouse Architect & Lead
Designs and leads scalable data platforms using Databricks and Lakehouse architecture, mentors teams, and delivers analytics solutions for enterprise clients in ANZ.
Data Platform SRE — Automation & Reliability Engineer
Designs and implements automated patching, observability, and operational tooling for a large-scale database and server environment at a major bank.
Senior Data Engineer - Regulatory Pipelines (FATCA/CRS/PTR)
Builds and maintains FATCA/CRS/PTR regulatory reporting pipelines using Python, PySpark, SQL, and AWS to ensure accurate, traceable, and on-time data delivery in a cloud environment.
Data Engineer: Build Backend Systems & Data Pipelines
Builds and maintains scalable data systems, APIs, and databases in a cloud environment to support data-driven products using Python, SQL/PLSQL, and modern data tools.
Senior Data Engineer – Cloud ETL for Regulatory Reporting
Designs, builds, and maintains cloud-based ETL pipelines for FATCA, CRS, and PTR regulatory reporting, ensuring data accuracy, timeliness, and audit readiness using AWS services and Python/PySpark.
data engineer
Build and maintain scalable backend systems and data pipelines using Python, SQL, and RESTful APIs in a hybrid Auckland role, focusing on database tuning and architecture.
Data Engineer: ETL, Snowflake & Cloud Innovator
Data Engineer building ETL pipelines, data models, and warehouse architecture in Wellington, working with Snowflake and cloud technologies in a collaborative team.
Data Engineer & Analytics Specialist
Designs, optimizes, and maintains SQL/MySQL databases and ETL pipelines for PB Tech’s ecommerce and ERP systems, and builds Power BI dashboards for analytics.
Senior Data Engineer (Enterprise data platform)
Build and maintain an enterprise data platform using Snowflake, Airflow, and dbt to deliver scalable analytics and trusted data products for a government agency.
Data Engineer - Data Platform
A Data Engineer at Kiwibank will build data products and support analytics/reporting solutions across the business, working with technologies like Snowflake, Python, Airflow, and AWS in a banking environment.
Senior Data Platform Engineer: Cloud, Impact, Wellington
Designs and builds scalable cloud-based data pipelines and services for a New Zealand bank, using Python, Terraform, and AWS to enable data-driven decision-making and analytics.
Data Engineer: Cloud Data Products – 12m (Auckland)
Build cloud data products for analytics and reporting at Kiwibank, focusing on Snowflake, Python, Airflow, and AWS.
Senior Data Engineer - Data Platform
Senior Data Engineer working on a modern cloud-based data platform using AWS, Terraform, Snowflake, Airflow, and DBT. Responsible for delivering data solutions from requirements to production using agile frameworks, writing code and tests, and contributing to CI/CD practices.
Senior Data Platform Engineer — Databricks & Fabric (Hybrid)
Senior Data Platform Engineer building modern data platforms using Databricks or Fabric, applying lakehouse design, ETL/ELT pipelines, and data modeling while progressively applying AI.
Senior Data Platform Engineer (Databricks & Fabric)
Designs and delivers end-to-end data platform solutions using Databricks/Fabric, collaborating with clients and architects to build scalable data pipelines and enable AI-driven insights.
Data Engineering Architect — Build Modern Data Platforms
Architect modern data platforms across AWS, Azure, and GCP, leading design sessions with client teams and driving strategy and implementation spanning data engineering, ML engineering, and DevOps automation.
Senior Data Engineer: CDC & Streaming Pipeline Lead
Lead data pipelines (CDC and streaming) that capture changes from data stores and stream to Kafka/HDFS, mentor engineers, and deliver data products using Java, Python, Kafka, Hadoop, Spark, and Airflow.
Client‑Facing Cloud Data Engineer – Modern Data Platforms
Design and deliver cloud-based data platforms for APAC clients, participating in the full delivery lifecycle and translating requirements into scalable data pipelines and architectures using modern tooling.
Senior Data Engineer
Senior Data Engineer designing, developing, and operating modern cloud-based data platforms using Snowflake, dbt, AWS, and Azure. Responsible for DataOps and MLOps delivery, technical leadership, and mentoring while working on scalable, secure data solutions.
Integration Engineer — AWS DevOps & Data Platform
Design, develop, deploy, monitor, and support integration capabilities to deliver business outcomes using AWS Lambda, S3, DynamoDB, and API Gateway.