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Data Engineer - Databricks

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Summary

12-month contract Data Engineer role at a major financial services/insurance organisation's data modernisation program. Day to day: building scalable pipelines and Bronze/Silver/Gold models in Databricks with Python/PySpark, SQL, dbt and Delta Lake, and migrating legacy (SAS) platforms to a cloud lakehouse. Hybrid in Sydney or Brisbane.

Location: Sydney / Brisbane (Hybrid)
Contract: 12 Months
Industry: Financial Services / Insurance

Data Engineer - Databricks

Location: Sydney / Brisbane (Hybrid)
Contract: 12 Months
Industry: Financial Services / Insurance

The Opportunity

We are seeking an experienced Data Engineer to join a major financial services organisation undergoing a significant data modernisation program.

You'll work within a modern Databricks environment, building scalable data pipelines, transforming complex datasets and supporting the migration of legacy data platforms to a cloud-based lakehouse architecture.

Key Responsibilities

  • Design, develop and optimise data pipelines using Databricks, Python/PySpark and SQL.
  • Build and maintain data transformations using dbt and Delta Lake.
  • Develop scalable data models across Bronze, Silver and Gold layers.
  • Support data migration from legacy platforms, including SAS.
  • Implement data quality checks, testing and performance optimisation.
  • Collaborate with data engineers, analysts and business stakeholders.

Skills & Experience

  • Strong hands-on experience with Databricks, PySpark and SQL.
  • Experience with dbt, Delta Lake and lakehouse architecture.
  • Proven experience developing and maintaining ETL/ELT pipelines.
  • Experience with cloud platforms, ideally Azure or AWS.
  • Understanding of CI/CD, data testing and production support.
  • Experience in insurance or financial services highly regarded.
  • Exposure to AI-assisted development tools such as GitHub Copilot or Databricks Genie advantageous.

Why Join?

  • Work on a large-scale data transformation program.
  • Modern Databricks and cloud technology environment.
  • Collaborative engineering team with hybrid flexibility.
  • Opportunity to contribute to AI-enabled data engineering practices.

Additional information

  • Long Term Engagement
  • Sydney or Brisbane - Hybrid
  • Tech Stack: Databricks, Python, SQL

Skills

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