Summary
Join a modern cloud-based engineering environment as a Data Engineer and build clean, scalable, secure data systems that support real-world outcomes. You will develop production-ready backend systems and high-performing data pipelines, integrate secure REST APIs, optimize performance, and collaborate closely with engineers and cross-functional partners.
Highlights
Permanent full-time opportunity within a highly collaborative cross-functional team. The role offers hands-on ownership of scalable and secure data systems, production-ready backend services, high-performing pipelines, and APIs in a modern cloud environment, with a strong focus on clean engineering and meaningful outcomes.
Description
Data Engineer
The Opportunity
We are seeking a Data Engineer to contribute to the development of clean, scalable, and secure systems.
This position offers the opportunity to join a highly collaborative, cross-functional team that deeply values robust architecture, thoughtful delivery, and clean code.
In this role, you will be fully involved in building and maintaining complex data systems and APIs that support meaningful, real-world product outcomes.
It is an ideal environment for an engineer who enjoys optimizing performance behind the scenes and working within a supportive, modern cloud ecosystem.
Role Details:
Engagement: Full-Time, Permanent.Location: Auckland-based with a flexible hybrid work model.Core Stack: Python, SQL/PLSQL, and RESTful APIs.
Key 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 closely with product, frontend, and data teams to deliver complete, 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.
Technical Profile
Database & Query Languages: Advanced knowledge of SQL and PLSQL, with a strong capability in database performance tuning.Backend Development: Solid commercial experience delivering backend systems using Python.API Frameworks: Proven skills in API development and integration (REST, JSON, OAuth).Data & Pipelines: Familiarity with database administration principles and ETL/ELT pipelines.DevOps Fundamentals: Routine experience with version control (Git) and CI/CD workflows.
Beneficial Criteria:
Exposure to cloud platforms (AWS, Azure, or GCP).Familiarity with containerisation tools (Docker, Kubernetes).Knowledge of modern data tools like dbt or Apache Airflow.
What’s in it for You?
A competitive base salary aligned with your technical engineering experience.A flexible hybrid work environment with modern cloud-based tools.Direct involvement in end-to-end projects with visible product impact.Continuation of your career alongside cross-functional technical experts.
How to Apply
If you are a data engineering specialist focused on clean architecture and performance optimization, please apply with your updated CV for review.
For a confidential discussion regarding the team culture, technical landscape, and delivery timelines, please contact Amaan Kazmi at amaan.kazmi@randstaddigital.co.nz or call 022 060 7986.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all.
We actively encourage applications from any background.
Data Engineer
The Opportunity
We are seeking a Data Engineer to contribute to the development of clean, scalable, and secure systems.
This position offers the opportunity to join a highly collaborative, cross-functional team that deeply values robust architecture, thoughtful delivery, and clean code.
In this role, you will be fully involved in building and maintaining complex data systems and APIs that support meaningful, real-world product outcomes.
It is an ideal environment for an engineer who enjoys optimizing performance behind the scenes and working within a supportive, modern cloud ecosystem.
Beneficial Criteria:
Exposure to cloud platforms (AWS, Azure, or GCP).Familiarity with containerisation tools (Docker, Kubernetes).Knowledge of modern data tools like dbt or Apache Airflow.
What’s in it for You?
A competitive base salary aligned with your technical engineering experience.A flexible hybrid work environment with modern cloud-based tools.Direct involvement in end-to-end projects with visible product impact.Continuation of your career alongside cross-functional technical experts.
How to Apply
If you are a data engineering specialist focused on clean architecture and performance optimization, please apply with your updated CV for review.
For a confidential discussion regarding the team culture, technical landscape, and delivery timelines, please contact Amaan Kazmi at amaan.kazmi@randstaddigital.co.nz or call 022 060 7986.
At Randstad, we are passionate about providing equal employment opportunities and embracing diversity to the benefit of all.
We actively encourage applications from any background.
Data Engineer, Backend Engineer, Python, SQL, PLSQL , RESTful APIs.
Bachelor Degree
Bachelor Degree
