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Data Quality Engineer

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Remote

Data Quality Engineer

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Data Quality Engineer

Skills

SQL QueriesPythonSnowflakeDatabricksAWSdbtJiraConfluence

1 month ago

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Important information


Contract type:

Permanent

Salary:

A$150,000 – A$159,000 / year

Location:

Melbourne VIC, Australia

Work mode:

Remote

Published on:

10 September 2026

What they need


Data Quality Engineer

6-month fixed-term contract | Potential permanent opportunity | Mostly remote
An exciting opportunity is available for an experienced Data Quality Engineer to join a large enterprise organisation on an initial six-month fixed-term contract, with the potential to transition into a permanent role.
Working across a complex data ecosystem, you will help improve the quality, reliability and governance of enterprise data. This role combines hands-on data quality engineering with stakeholder engagement, allowing you to influence delivery outcomes and build stronger data practices across the organisation.

What you'll be doing

  • Develop and maintain data quality checks, validation rules and monitoring processes
  • Use SQL, Python and dbt for data profiling, analysis and automation
  • Monitor ETL/ELT pipelines and identify data quality issues
  • Investigate incidents, complete root-cause analysis and support problem resolution
  • Establish and track data quality KPIs, controls and reporting
  • Support data lineage, metadata management and governance activities
  • Provide operational and application support across enterprise data platforms
  • Work closely with business, engineering, governance and delivery teams
  • Contribute to Agile delivery using Jira and Confluence

What you'll bring

  • Strong experience in data quality management and data governance
  • Hands-on experience with Snowflake, dbt and AWS
  • Strong SQL skills and practical Python experience
  • Experience supporting ETL/ELT processes and enterprise data pipelines
  • Knowledge of data lineage and metadata management
  • Experience with data operations, incident management and application support
  • Exposure to Databricks would be advantageous
  • Strong analytical and problem-solving capabilities
  • Confident stakeholder management skills across business and technical teams
  • Experience working in an Agile delivery environment

This is a great opportunity to join a collaborative enterprise data team, enjoy mostly remote working arrangements and potentially move into a permanent position.
For more information contact Melissa Haddad at [email protected]

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