Python Data Test Engineer (Melbourne)

Role Summary

The Python Data Test Engineer executes functional and non-functional testing for Python-based data and ML workloads, supporting large-scale analytics and ML platform migrations.

Key Responsibilities

• Execute test cases for ETL pipelines, feature generation, and Python ML scripts.
• Validate outputs against baseline benchmarks from legacy systems.
• Prepare and maintain test datasets for SIT and UAT execution.
• Perform data reconciliation, metric comparison, and defect reporting.
• Support parallel run testing and regression cycles.
• Maintain accurate test evidence and execution reports.

Required Skills & Experience

• 4–7 years in Python-based data testing.
• Strong hands‑on experience with Python, SQL, Pandas.
• Understanding of ML workflows, model outputs, and metric validation.
• Experience working in Agile delivery environments.
• Familiarity with Azure data platforms is preferred.