Data Engineer — Scalable Pipelines & Governance

VicRoads Registration and Licensing Services (RLS); City of Melbourne; Hybrid; AUD 110,000 - 160,000; Full time

Benefits offered by this job

Salary packaging

Fitness Passport & discounts

Flexible working

Parental leave

Job summary

VicRoads Registration and Licensing Services (RLS) – Melbourne VIC is hiring a Data Engineer to support design, development, and maintenance of scalable data pipelines powering our data platform.

You will collaborate with data engineers, analysts and business stakeholders to deliver reliable, governed data for analytics, reporting, and insights, applying best‑practice data engineering standards and governance practices.

Qualifications

• 3–4+ years’ experience building and maintaining data pipelines using modern data stack tools (e.g. Databricks, Spark, dbt, Kafka).
• Strong proficiency in SQL and at least one programming language (e.g. Python), with hands‑on experience in distributed data processing frameworks such as Apache Spark.
• Experience working with cloud‑based data platforms (e.g. Databricks, AWS Redshift).
• Solid understanding of data modelling, ETL/ELT processes, data integration, orchestration, automation, and data warehousing.
• Experience applying CI/CD practices to build resilient, high‑quality data pipelines
• Knowledge of data governance, data quality, and security best practices

Responsibilities

• Design, develop, and maintain scalable data pipelines powered by the data platform.
• Collaborate with data engineers, analysts and stakeholders to translate data requirements into technical solutions.
• Implement governance, security, and quality controls for data assets.

Skills

SQL

Python

Databricks

Spark

Kafka

ETL/ELT

CI/CD

Data governance

Data modelling

Cloud platforms

Tools

Databricks

Spark

dbt

AWS Redshift

Job description

VicRoads Registration and Licensing Services (RLS) – Melbourne VIC is hiring a Data Engineer to support design, development, and maintenance of scalable data pipelines powering our data platform.

You will collaborate with data engineers, analysts and business stakeholders to deliver reliable, governed data for analytics, reporting, and insights, applying best‑practice data engineering standards and governance practices.