This is a Data Engineer / Databricks role with Ingrity based in Sydney, NSW, AU
== Ingrity ==

Role Seniority - mid level

More about the Data Engineer / Databricks role at Ingrity

Data Engineer

Location: Sydney

Employment Type: Contract

About Us:

The Company INGRITY is a Microsoft data and AI solution partner, working closely with Microsoft to create value for our customers. We collaborate with some of the best ASX-listed companies and many medium-sized businesses, delivering transformative data and AI-driven solutions. Our success is built on innovation, customer advocacy, and our strategic partnership with Microsoft.

We are currently hiring for a 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 workplace (Azure, AWS, or GCP). Exposure to Unity Catalog or Delta Live Tables is a plus.

Why Join Us:

Opportunity to work on high-impact projects with leading organizations. Exposure to cutting-edge analytics tools and technologies. Collaborative and inclusive work environment. Professional growth and development opportunities.

Before we jump into the responsibilities of the role. No matter what you come in knowing, you’ll be learning new things all the time and the Ingrity team will be there to support your growth.

Please consider applying even if you don't meet 100% of what’s outlined

Key Responsibilities

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Key Strengths

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A Final Note: This is a role with Ingrity not with Hatch.

📌 Data Engineer / Databricks (Sydney)
🏢 INGRITY
📍 Sydney