CareerPlan
Sydney, New South WalesFull-time2026-10-09 → 2026-10-22

Core

Develop and execute comprehensive data quality tests within Databricks and Azure environments to ensure data accuracy and reliability.

Role type

Data Quality Assurance Engineer

Builds

Validated ETL processes and transformations

Domain

Data Engineering / Cloud Data Platforms

Deliverable

production ML models

Required skills

Data quality assurance, Databricks notebooks, ETL validation, Azure data functionalities

Preferred skills

Data engineering collaboration

Technologies

Databricks, Azure

Responsibilities

Develop and execute comprehensive data quality tests; Collaborate with data engineering teams to validate ETL processes; Contribute to enhancing data quality standards and processes

Seniority

Mid-level, hands-on IC