A leading New Zealand organisation is seeking a skilled Test Engineer to join a high-performing technology team. This role offers the opportunity to work at the forefront of data quality, contributing to modern analytics pipelines and ensuring the integrity of data that powers strategic decision-making.
The RoleAre you an experienced Test Engineer with a passion for data integrity and automation? This role involves taking ownership of data validation tasks, collaborating with data engineers, and ensuring robust testing processes within an agile environment. Your ability to validate complex transformations and develop automated frameworks will be essential in delivering high-quality, actionable insights.
Key Responsibilities- Design and execute data quality tests to ensure processed data meets functional and business requirements.
- Validate the accuracy and completeness of transformed datasets across ETL pipelines.
- Identify and escalate data anomalies, inconsistencies, and pipeline quality issues.
- Develop and run test cases for data pipelines, including business logic validation.
- Implement automated validation scripts using Python/PySpark within reusable frameworks.
- Contribute to Cl/CD testing processes to enable continuous delivery of reliable data products.
- Document test plans and findings, collaborating with technical teams to resolve issues.
Technical Skills:
- Hands-on experience in data quality testing, QA, or related data-centric roles.
- Solid understanding of ETL concepts, data transformations, and pipeline logic.
- Proficiency in SQL and relational database principles for querying and validating datasets.
- Exposure to Python scripting for building automation and validation frameworks.
- Strong grasp of functional testing principles and a methodical, edge-case-driven approach.
Soft Skills:
- Proactive problem-solver with a mindset geared toward improving test reliability.
- Excellent collaboration skills, with the ability to work effectively across technical teams.
- Commitment to continuous learning and adapting to evolving data technologies.
Nice to Have:
- Experience with Databricks, Delta Lake, or Lakeflow platforms.
- Exposure to data-centric Cl/CD workflows and observability tooling.
- 6-month initial contract with a high potential for extension.
- Auckland-based | Hybrid working (at least 3 days in-office) | Contract.
- Competitive market rates and the chance to work on modern data stacks.
If you are passionate about data quality and automation, apply now to be part of a forward-thinking team! Follow the link to apply or contact Amaan at 0220607986. Alternatively, you can email amaan.kazmi@randstaddigital.co.nz.
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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