Data Engineer

January 28, 2026
Application ends: April 28, 2026
Apply Now

Job Description

Your new role

  • Design, build, and maintain ETL/ELT pipelines to ingest data from various sources.
  • Develop and manage data lakes and data warehouses for optimal performance and security
  • Automate data ingestion and transformation for real-time and batch flows
  • Implement data cleansing, validation, and reconciliation processes
  • Establish monitoring and alerting systems for data quality issues
  • Collaborate with Data Analysts and Architects to optimise data models and ensure governance compliance
  • Provide technical support and maintain documentation for data systems
  • Communicate technical concepts to stakeholders and promote a strong data culture
  • Travel to multiple sites (Broken Hill, Adelaide, Dominican Republic) for project work

What you’ll need to succeed

Essential:

  • Bachelor’s degree in Computer Science, Information Systems, or related field
  • Minimum 4 years’ experience in data engineering or similar role
  • Proven experience building and maintaining ETL/ELT pipelines
  • Strong proficiency in SQL and data warehousing concepts
  • Hands-on experience with Microsoft Azure, including Azure Data Factory, Azure Synapse, and Databricks
  • Programming skills in Python or Java

Desirable:

  • Experience in the mining or industrial sector
  • Certifications such as Microsoft Certified: Azure Data Engineer Associate
  • Familiarity with Big Data technologies (e.g., Spark, Hadoop)

Are you interested in this position?

Apply by clicking on the “Apply Now” button below!

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