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.
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