Senior Data Testing Engineer

XPT Software Australia; City of Melbourne; On-site; AUD 120,000 - 150,000; Full time

Job summary

XPT Software Australia is seeking a Senior Data Testing Engineer to drive regression on our cloud platform in GCP, focusing on data quality and system stability.

You will use Python and SQL to automate large‑scale transactional reconciliation and to validate near real‑time data availability across multiple data layers.

Experience with data warehousing, ETL, CI/CD and graph databases with Cypher is a plus for comprehensive end‑to‑end testing.

Qualifications

• Implement GCP-based regression using Workflows, BigQuery, Cloud Run, Cloud Build, Cloud Scheduler.
• Proficient in Python and SQL for automated reconciliation and data availability checks.
• Knowledge of data warehousing, ETL, data transformations, and CI/CD.
• Hands-on with graph databases and Cypher.
• Regression testing for high-volume data across layers to ensure quality and stability.

Responsibilities

• Implement cloud platform regression using GCP (Workflows, BigQuery, Cloud Run, Cloud Build, Cloud Scheduler).
• Proficient in Python and SQL for automated reconciliation and data availability checks.
• Knowledge of data warehousing, ETL, data transformations, and CI/CD.
• Hands-on with graph databases and Cypher.
• Regression testing for high-volume data across layers to ensure quality and stability.

Skills

Python

SQL

CI/CD

Data testing

Reconciliation

Tools

BigQuery

Cloud Run

Cloud Build

Cloud Scheduler

Workflows

Cypher

Job description

Job description

Senior Data Testing Engineer

• Implementing cloud platform regression, preferably on GCP using Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler.
• High proficiency in Python and SQL, including the use of related libraries to automate large-scale transactional reconciliation and validate data availability for near real-time data.
• Good understanding of data warehousing, ETL processes, data transformations, and CI/CD deployments.
• Experience working with graph databases, with hands‑on knowledge of the Cypher query language.
• Skilled in implementing regression for high-volume transactional data across multiple data layers, ensuring validations for accurate data quality outcomes and system stability.