Data Engineer - Pipelines & Analytics (Contract)

LT Network Pty; City of Melbourne; On-site; AUD 100,000 - 140,000; Full time

Job summary

Digital Stack in Melbourne is seeking a data engineer to build and maintain secure, reliable data pipelines and datasets that support reporting and analytics. You will join an in-house development team using agile methodologies to enable new AI and Reporting features.

The role focuses on integrating data from applications, designing data models and warehouses, and implementing quality checks while pursuing performance improvements and cost efficiency.

Qualifications

• Strong SQL and Python experience.
• Experience building and operating production data pipelines.
• Data modelling and warehouse design.
• Experience with cloud platforms.
• Version control, testing and troubleshooting skills.
• Ability to explain technical issues to business stakeholders.
• Desirable: Databricks experience.

Responsibilities

• Integrate data from business applications, databases, APIs and files.
• Build automated ETL processes to extract, transform and load data.
• Develop and maintain data warehouse tables and models.
• Implement data quality checks, monitoring and recovery.
• Improve processing performance and reduce infra costs.
• Maintain documentation, access controls and deployment processes.
• Collaborate with analysts and stakeholders to deliver usable datasets.

Skills

SQL

Python

Data pipelines

Data modelling

Warehouse design

Cloud platforms

Version control

Testing

Stakeholder communication

Databricks

Tools

Databricks

Job description

Digital Stack in Melbourne is seeking a data engineer to build and maintain secure, reliable data pipelines and datasets that support reporting and analytics. You will join an in-house development team using agile methodologies to enable new AI and Reporting features.

The role focuses on integrating data from applications, designing data models and warehouses, and implementing quality checks while pursuing performance improvements and cost efficiency.