QA Test Engineer - Data Pipelines & GCP (Hybrid)

FinXL; Sydney; Hybrid; AUD 90,000 - 130,000; Full time

Benefits offered by this job

Hybrid work model

Visa sponsorship available

Job summary

FinXL is seeking an experienced Quality Assurance Test Engineer to lead automated testing for a major data pipeline project within a Banking & Finance client. The role is based from Sydney or Brisbane on a hybrid model, with visa sponsorship available.

You will design and maintain automated test scripts, validate ETL processes and analytics solutions, and integrate tests into CI/CD pipelines, ensuring data accuracy across platforms and cross-functional collaboration.

Qualifications

• 3 to 5+ years of commercial experience in QA as a technical test engineer.
• Solid technical background beyond functional testing.
• Experience testing in a data-centric environment, preferably data warehousing.
• Hands-on experience with GCP technologies such as BigQuery.
• Strong understanding of CI/CD pipelines and automated test frameworks.
• Familiarity with agile tools and environments, including Jira.
• Excellent communication skills for cross-functional collaboration.

Responsibilities

• Design, develop, and maintain automated test scripts and frameworks.
• Ensure the quality of data pipelines, ETL processes, and analytics solutions.
• Integrate automated tests into CI/CD pipelines.
• Perform robust data validation across platforms to ensure accuracy.
• Identify, document, and track defects with development teams.
• Support testing setup for modern data applications.
• Advocate for continuous improvement with automated solutions.

Skills

QA testing

Data pipelines

GCP BigQuery

CI/CD

Jira

Automation

Communication

Tools

Jira

BigQuery

Job description

FinXL is seeking an experienced Quality Assurance Test Engineer to lead automated testing for a major data pipeline project within a Banking & Finance client. The role is based from Sydney or Brisbane on a hybrid model, with visa sponsorship available.

You will design and maintain automated test scripts, validate ETL processes and analytics solutions, and integrate tests into CI/CD pipelines, ensuring data accuracy across platforms and cross-functional collaboration.