Data Engineer

Randstad New Zealand

Auckland

Hybrid

NZD 90,000 - 120,000

Full time

14 days+

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Job summary

Randstad New Zealand is seeking a Data Engineer in Auckland to build and maintain robust data systems and APIs within a modern cloud environment.

You will own backend development, data pipelines, and API integration, collaborating with cross-functional teams to deliver scalable solutions and optimize performance in production.

Qualifications

  • Bachelor degree in a related field or ICT.
  • Strong Python backend development experience.
  • Proficient SQL/PLSQL with performance tuning.
  • Experience building and consuming RESTful APIs.
  • Experience with ETL/ELT pipelines and data platforms.
  • Familiarity with CI/CD workflows and Git.

Responsibilities

  • Build and maintain production-ready backend systems and data pipelines.
  • Develop and integrate secure RESTful APIs across enterprise systems.
  • Write and optimize complex SQL/PLSQL scripts for large datasets.
  • Collaborate with product, frontend, and data teams to deliver end-to-end solutions.
  • Assist with database tuning, schema design, and live environment performance.
  • Contribute to backend architecture, security, and CI/CD deployment practices.

Skills

Python
SQL
PLSQL
RESTful APIs
Data pipelines
Git
CI/CD

Education

Bachelor's degree

Tools

Docker
Kubernetes
dbt
Apache Airflow

Job description

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.

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.
Skills

Data Engineer, Backend Engineer, Python, SQL, PLSQL , RESTful APIs.

Qualifications
  • Bachelor Degree

education
Bachelor Degree&ICT

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.

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