Randstad New Zealand

Data Engineer

Randstad New Zealand

Auckland, New Zealand (Hybrid) · Full Time

Be the first to apply

Experience
Any
Salary
Openings
1
Posted
5 ਦਿਨ ਪਹਿਲਾਂ
Work mode
Hybrid
Education
Bachelor Degree
Resume
Required to apply

Where you'll work

Sign in to tell us what does and doesn't work for you here — it sharpens every match we show you.

Job description

About the Role

We are looking for a Data Engineer to help design and implement clean, scalable, and secure backend systems. You will join a collaborative and cross-functional team that values strong architecture, thoughtful implementation, and writing clean code. This position is based in Auckland and offers a flexible hybrid working model.

Key Responsibilities

  • Create and maintain production-quality backend systems and data pipelines that perform efficiently at scale.
  • Develop and integrate secure RESTful APIs interfacing with various internal and external enterprise applications.
  • Deliver and optimize complex SQL and PLSQL queries to manage large datasets effectively.
  • Collaborate closely with product management, frontend engineers, and data specialists to provide comprehensive software solutions.
  • Support database performance monitoring, schema design, and live system tuning.
  • Contribute expertise to backend architecture, security best practices, and continuous integration/deployment processes.

Technical Qualifications

  • Advanced proficiency in SQL and PLSQL with experience in database performance tuning.
  • Proven commercial experience in backend development using Python.
  • Strong skills in API design and integration, including REST, JSON, and OAuth standards.
  • Knowledge of database administration and ETL/ELT pipeline development.
  • Familiar with DevOps tools and principles such as Git version control and CI/CD pipelines.

Preferred Experience

  • Experience working with cloud platforms like AWS, Azure, or Google Cloud Platform.
  • Knowledge of containerization technologies including Docker and Kubernetes.
  • Familiarity with modern data orchestration tools such as dbt or Apache Airflow.

Compensation and Benefits

  • Competitive base salary commensurate with your data engineering expertise.
  • Flexible hybrid workplace model supported by contemporary cloud-based tools.
  • The chance to work on impactful end-to-end projects with direct product influence.
  • Opportunity to grow your career alongside a team of skilled technical professionals.

Education Requirement

Applicants must hold a Bachelor's degree, preferably in ICT or a related field.

Additional Information

If you're passionate about building performant, well-architected backend systems and thrive in a supportive environment, we encourage you to apply with your updated resume.

We celebrate diversity and are committed to providing equal employment opportunities for all.

Minimum education

Bachelor's Degree

Leave it if you'd like a reply — we won't use it for anything else.

Click to browse, drag & drop, or paste a screenshot

PNG, JPG, GIF, MP4, WebM, MOV · Max 20MB each · Up to 5 files

🤖
Online · instant AI help
Broxer