Data Engineer

7 hours ago

Brisbane, Queensland, Australia WNS Full time $80,000 - $120,000 per year

Software/Data Engineer with experience using working in Databricks

Core Responsibilities

  • Build, enhance, and maintain data pipelines in Databricks notebooks using Python and SQL.
  • Work with Delta Lake for structured and semi-structured data.
  • Develop and automate Databricks Jobs / Workflows for scheduled processing.
  • Transform and clean data across bronze/silver/gold layers, using dbt (data build tool) to model, test, and document datasets.
  • Write modular, reusable SQL using Jinja templating in dbt.
  • Use GitHub Copilot in VS Code to help scaffold code, write boilerplate, and speed up routine tasks.
  • Monitor, troubleshoot, and improve job reliability, performance, and cost efficiency.
  • Collaborate with analysts and data scientists to deliver clean, accessible data.
  • Follow version control best practices using Git and Databricks Repos.

Required Skills

  • 2–4 years in data engineering or analytics engineering roles.
  • Strong Python (pandas, PySpark basics) and SQL.
  • Hands-on experience with Databricks — notebooks, clusters, jobs, and Delta tables.
  • Experience with dbt for transformations, including writing Jinja-based SQL macros.
  • Comfortable working in VS Code (or similar IDE) for development and version control.
  • Experience using GitHub Copilot to support coding productivity, especially for boilerplate or repetitive tasks.
  • Understanding of data lakehouse architecture (bronze / silver / gold layers).
  • Familiarity with orchestration tools like Databricks Workflows, ADF, or Airflow.
  • Experience in a cloud environment (Azure, AWS, or GCP).
  • Exposure to Unity Catalog or Delta Live Tables is a plus.

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