Data Engineer - Databricks

Ingrity; Sydney, Brisbane; Híbrido; AUD 120.000 - 180.000; Jornada completa

Descripción de la vacante

INGRITY is seeking an experienced Data Engineer to join a major financial services organisation undergoing a data modernisation program. The role sits in a modern Databricks environment, building scalable pipelines and migrating legacy platforms to a cloud-based lakehouse.

You will design, develop and optimize pipelines, transform complex datasets and collaborate with engineers, analysts, and stakeholders in a hybrid Sydney/Brisbane setting.

Formación

• Strong hands-on experience with Databricks, PySpark and SQL.
• Experience with dbt, Delta Lake and lake house 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.

Responsabilidades

• 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.

Conocimientos

Databricks

PySpark

SQL

Herramientas

dbt

Delta Lake

Descripción del empleo

Data Engineer – Databricks

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

The Opportunity:

INGRITY is 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 lake house 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.