Data Engineer: Build Backend Systems & Data Pipelines

Randstad Digital New Zealand; Auckland; Hybrid; NZD 110,000 - 150,000; Full time

Job summary

Randstad Digital New Zealand is seeking a Data Engineer to build and maintain scalable data systems and secure APIs in a collaborative cloud environment. You will work on production-ready backend systems, optimize databases, and contribute to end-to-end data-driven products in a hybrid Auckland setting.

The role emphasizes Python-based backend development, SQL/PLSQL expertise, API integration, and modern data tooling within a supportive tech team.

Qualifications

• Bachelor Degree in a relevant field.
• Experience building backend systems in Python.
• Strong SQL/PLSQL and API development experience.
• Experience with ETL/ELT pipelines and data platforms.
• Familiarity with CI/CD and DevOps practices.

Responsibilities

• System Development: Build and maintain production-ready backend systems and high-performing data pipelines.
• API Integration: Develop and integrate secure RESTful APIs across a variety of internal and external enterprise systems.
• Database Optimization: Write and optimize complex SQL and PLSQL scripts to support large-scale data operations.
• Cross-Functional Collaboration: Partner with product, frontend, and data teams to deliver end-to-end software solutions.
• Performance Governance: Assist with database tuning, schema design, and live environment performance management.
• Engineering Standards: Contribute to backend architecture best practices, security protocols, and CI/CD deployment processes.

Skills

Python

SQL/PLSQL

RESTful APIs

ETL/ELT

Git

CI/CD

Data pipelines

Education

Bachelor degree

Tools

Docker

Kubernetes

Airflow

dbt

Job description

Randstad Digital New Zealand is seeking a Data Engineer to build and maintain scalable data systems and secure APIs in a collaborative cloud environment. You will work on production-ready backend systems, optimize databases, and contribute to end-to-end data-driven products in a hybrid Auckland setting.

The role emphasizes Python-based backend development, SQL/PLSQL expertise, API integration, and modern data tooling within a supportive tech team.