QA Engineer - Data & ETL/Analytics

We are looking for a QA Engineer (Data) to join our Technology Vertical in Australia and make a real impact every day. We say that because we know that every conversation we have, every code line we write and every interface we design is another opportunity for us to enrich our customers’ experiences.

Reporting into QA Tech Lead, you will be a key part of the team ensuring the accuracy, completeness, and reliability of data across our Payments vertical. This is a SQL-heavy role, focused on validating ETL processes, data transformations, and reporting quality across data pipelines and warehouses. Some of the other responsibilities include:

• Validate data accuracy, completeness, and transformation logic across multiple systems and environments.
• Write and execute advanced SQL queries to check data accuracy, transformations and integrity across large datasets.
• Build and enhance QA automation frameworks for data testing, contributing to standards and best practices from the ground up.
• Collaborate with cross-functional teams including Developers, Product Managers, QAs to ensure test coverage and alignment with business goals.
• Mentor junior QA team members and provide technical guidance on BI testing best practices.
• Contribute to the development and refinement of QA frameworks, standards, and automation strategies for data testing.
• Participate in Agile ceremonies to guide QA planning and estimation, validate data quality in SIT and production, and recommend improvements to QA processes and automation strategies.

What would make me a good candidate?

We are looking for curious and empathetic people. We also love to hear from people who are motivated by meaningful work, resonate with our four core values, have a positive outlook, are comfortable with ambiguity and thrive working in an ever-evolving and complex environment. We are inspired by meeting big picture thinkers and doers, people who can be both tactical and strategic, aim high and put people first in everything they do.

The ideal candidate will have proven QA experience in BI and data warehouse environments, a strong command of SQL, and a hands-on, testing-focused mindset to ensure data accuracy and reliability while driving improvements in QA practices.

Required Skills & Experience

• Proven QA experience with a few years focused on BI, data warehouse, or analytics testing.
• Advanced SQL skills and experience validating large, complex datasets.
• Strong understanding of ETL processes, data modeling, and data governance principles.
• Hands-on experience with BI tools such as Power BI, Tableau, Looker, or similar.
• Strong experience in test automation for data, ideally building frameworks or automation solutions from scratch.
• Familiarity with Agile/Scrum methodologies and tools like Azure Dev Ops, JIRA and Confluence.
• Knowledgeable in API testing (e.g., Postman)
• Excellent analytical, problem-solving, and communication skills.
• Strategic thinker with a strong attention to detail and a passion for data quality.
• Comfortable working independently and leading initiatives in a remote team environment.
• A testing mindset, attention to detail, and ability to work in fast-changing, distributed environments.

Preferred Qualifications

• Experience with cloud data platforms (e.g., Snowflake, BigQuery, Redshift) is advantage.
• Exposure to data quality frameworks or tools (e.g., Great Expectations, dbt tests).
• ISTQB Advanced Level or equivalent certification.
• Experience with test automation in data environments.

At Xplor, we believe that the best innovation and ideas happen at the intersections of our differences - people of diverse cultures, generations, disciplines, and lived experiences. So even if you think you do not tick all the boxes, we still encourage you to apply.

Our four core values guide us from how we hire and recognize our team members to how we interact with our customers day to day:

• Move with purpose
• Make life simple
• Build for people
• Create lasting communities.

If these values sound like you, and describe people you want to work with, you will thrive at Xplor.

As an Xplorer, you will be part of a global network of talented colleagues who will support your success. We look for commonalities and shared passions and give people the tools they need to deliver great work and grow at speed.

Some of our perks and benefits are:

• 12 weeks Gender Neutral Paid Parental Leave for both primary and secondary carer
• #GiveBackDays/Commitment to social impact – 3 extra days off to volunteer and give back to your local community
• Unlimited access to LinkedIn Learning, plus regular career and growth conversations with your leader, as part of Xplor GPS
• Ongoing dedication to Diversity & Inclusion initiatives such as D&I Council, Global Mentorship Program
• Access to free mental health support
• Flexible working arrangements