Location & Contract

Location: Sydney / Brisbane (Hybrid)

Contract: 12 Months

Industry: Financial Services / Insurance

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?

- Modern Databricks and cloud technology environment.
- Collaborative engineering team with hybrid flexibility.
- Opportunity to contribute to AI‑enabled data engineering practices.

Essential Criteria

1. Demonstrated experience developing ETL/ELT processes for complex and/or large data movement, transformation and/or visualisations, particularly in a cloud environment. 50%
2. Experience preparing data optimised for query performance in cloud computed engines. E.g. Distributed computing engines (Spark) Graph Databases Azure SQL. 25%
3.



Experience working with Engineering, Storage and Analytics services in cloud infrastructure. 25%

Desirable Criteria

1. Experience working with Azure Data Factory and Databricks.
2. Experience/Knowledge of working with Data Lake and Lakehouses.

Additional Requirements

- Australian Citizens residing in Australia only respond.
- Must hold a valid Baseline security clearance or be willing and eligible to obtain one.
- To be considered for this position, candidates must be legally authorised to work in Australia on a permanent basis without any restrictions.

Additional Local Benefits

- Monthly Lifestyle Allowance: Contribution towards health and wellbeing activities like gym memberships.
- Novated Leasing: Pre‑tax car leasing benefit for new and used cars.
- Loyalty Leave: Receive an additional day of leave on your 3rd, 4th, and 5th work anniversaries, accumulating up to a maximum of 3 extra days of leave per year.
- Inclusive Parental Leave Policy: 12 weeks of primary carer’s leave and 4 weeks of secondary carer’s leave.
- Work From Anywhere: In addition to our hybrid working policy, we also offer 20 days of working from anywhere per year. Ideal for an extended trip to get away from the city or visiting loved ones.





Ingrity – Data Engineer 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?

- Modern Databricks and cloud technology environment.
- Cooperative engineering team with hybrid flexibility.
- Opportunity to contribute to AI‑enabled data engine

📌 Expression Of Interest – Site Engineer I Data Centre (Australia)
🏢 CPB
📍 Australia