Databricks Data Engineer – Banking (Brisbane, Remote)

Select Aust Sydney; Brisbane; Hybrid; AUD 166,000 - 203,000; Part time

Benefits offered by this job

Udemy license

Exclusive discounts

Private health fund discounts

3 payruns per week

Job summary

Randstad is seeking a Data Engineer to join a banking client on a 6-month initial contract, based in Brisbane CBD with flexible work from home. You will design and maintain scalable data pipelines, using Databricks, dbt, and modern cloud architecture to deliver production-ready data models.

The role requires hands-on experience with Databricks and dbt, strong data transformation skills, and a solid understanding of data governance and security in enterprise environments.

Qualifications

• Commercial experience as a Data Engineer in banking or financial services.
• Hands-on with Databricks for distributed processing.
• Experience with data transformation and modelling using dbt.
• Experience with large-scale datasets in enterprise environments.
• Knowledge of data warehousing concepts, governance, and security.

Responsibilities

• Design, build, and maintain scalable data pipelines using Databricks and modern cloud architecture.
• Develop, test, and deploy data transformation and modelling workflows with dbt.
• Process, curate, and optimise high-volume datasets for performance and reliability.
• Collaborate with cross-functional analytics and data teams to deliver production-ready data models.
• Implement best practices for data governance and security across pipelines.

Skills

Databricks

dbt

Data pipelines

Data modelling

Data governance

Cloud architecture

SQL

Job description

Randstad is seeking a Data Engineer to join a banking client on a 6-month initial contract, based in Brisbane CBD with flexible work from home. You will design and maintain scalable data pipelines, using Databricks, dbt, and modern cloud architecture to deliver production-ready data models.

The role requires hands-on experience with Databricks and dbt, strong data transformation skills, and a solid understanding of data governance and security in enterprise environments.