QA Engineer - Data & ETL / Analytics

Melbourne, Victoria, Australia

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Biotechnology, Financial Services, SaaSIndustries

Requirements

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. Required skills include a few years of experience focused on BI, data warehouse, or analytics testing, advanced SQL skills with experience validating large, complex datasets, and a 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, and familiarity with Agile/Scrum methodologies and tools like Azure Dev Ops, JIRA and Confluence are also required. Knowledgeable in API testing (e.g., Postman) and excellent analytical, problem-solving, and communication skills are essential. The candidate should be a strategic thinker with a strong attention to detail and a passion for data quality.

Responsibilities

The QA Engineer will validate data accuracy, completeness, and transformation logic across multiple systems and environments using advanced SQL queries. They will build and enhance QA automation frameworks for data testing, contributing to standards and best practices from the ground up. Responsibilities include collaborating with cross-functional teams to ensure test coverage and alignment with business goals, mentoring junior QA team members, and providing technical guidance on BI testing best practices. The role also involves contributing to the development and refinement of QA frameworks, standards, and automation strategies for data testing, and participating 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.

Skills

SQL

ETL

Data Validation

Data Transformation

Reporting

QA Automation

Test Frameworks

Collaboration

Xplor

Provides software and payment solutions for businesses

About Xplor

Xplor Technologies offers software and payment solutions designed to help small to medium-sized businesses grow by managing digital marketing, loyalty programs, and appointment scheduling. Their products operate on a subscription model for software and transaction fees for payment processing, allowing businesses to streamline operations and enhance customer engagement. Xplor stands out by promoting an inclusive culture and continuously improving its offerings with advanced features like Xplor Pay Mobile and Service Autopilot. The company's goal is to empower businesses to effectively engage with customers and drive growth through accessible technology.

None, NoneHeadquarters

2022Year Founded

DEBTCompany Stage

Consumer Software, Enterprise Software, FintechIndustries

1,001-5,000Employees

Benefits

Remote Work Options

Risks

Increased competition from Square and Stripe may impact Xplor's market share.

Economic instability in Australia and New Zealand could affect Xplor Gym's adoption.

Regulatory scrutiny on PayFac as a Service may delay its implementation.

Differentiation

Xplor integrates SaaS solutions with embedded payments for everyday life businesses.

The company offers AI-driven tools like Service Autopilot for innovative service delivery.

Xplor's PFaaS optimizes payment systems, unlocking new revenue streams for SaaS companies.

Upsides

Xplor Gym's launch in Australia and New Zealand expands its fitness market presence.

Justin Beck's appointment is set to drive global growth in home services.

Generative AI integration can enhance Xplor's offerings, adding value for clients.

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