Job Description

We are seeking a Data Platform Engineer with strong quality engineering and automation expertise to support the development, validation, and reliability of large-scale data platforms. This role will focus on Databricks Lakehouse, PySpark, SQL, distributed data pipelines, event-driven architectures, and cloud-based data ecosystems, while also supporting automated testing, data validation, CI/CD quality gates, and platform resilience.

The successful candidate will play a key role in ensuring end-to-end data integrity across complex systems, validating data flows between applications and data platforms, and supporting performance, scalability, and reliability initiatives. Working closely with cross-functional teams, the individual will leverage strong Databricks, Python, and SQL expertise to investigate data quality issues, validate platform behaviour, and contribute to the continuous improvement of automation and engineering practices.

This is a hands-on technical role suited to a data engineering professional who can operate independently, collaborate across multiple teams, and apply quality engineering principles within a modern data platform workplace.



While testing and automation experience are important, the primary focus is deep expertise in Databricks, Python, SQL, and data platform engineering.

Responsibilities

- Design, develop, and maintain automated test frameworks and test suites.
- Build and enhance quality gates within GitLab CI/CD pipelines.
- Perform end-to-end testing of complex distributed data flows.
- Validate data integrity across RabbitMQ, Databricks Lakehouse, Lakebase, and Elasticsearch platforms.
- Conduct functional, integration, regression, and data validation testing.
- Collaborate with developers, platform engineers, and fellow SDETs to ensure seamless system integration.
- Coordinate cross-team testing activities across multiple application teams.
- Design and execute load, performance, and scalability testing strategies.
- Perform chaos testing and resilience validation of distributed systems.
- Investigate and troubleshoot data discrepancies across multiple storage systems.
- Contribute to continuous improvement of test automation practices and quality engineering standards.

📌 Data Platform Engineer (Brisbane)
🏢 NCS Australia
📍 Brisbane