Senior Data Testing Engineer

FR Consultancy; City of Melbourne; On-site; AUD 120,000 - 180,000; Full time

Job summary

FR Consultancy in Melbourne, Australia seeks a data engineering professional to implement cloud platform regression on GCP, leveraging Workflows, BigQuery, Cloud Run, Cloud Build, and Cloud Scheduler. You will drive validations for high-volume transactional data and ensure data availability for near real-time insights.

The role requires strong Python and SQL skills, solid understanding of data warehousing, ETL, CI/CD, and experience with graph databases and Cypher to support multi‑layer data

Qualifications

• 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.

Skills

Python

SQL

GCP

BigQuery

Cloud Run

Cloud Build

Cloud Scheduler

Data warehousing

ETL

CI/CD

Cypher

Graph databases

Tools

BigQuery

Cloud Run

Cloud Build

Cloud Scheduler

Cypher

Graph databases

Job description

Status: AU valid visa with full work rights

Requisites:

• 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.