Back to jobs

Data Engineer

Melbourne - Head Office

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
Unconfirmed
Apply at Rlservices

What you’ll work on

Full posting
  • You'll work on enterprise-grade data platforms, delivering reliable and secure data pipelines that support analytics, reporting, and decision-making across the organisation.

From the employer’s posting
VicRoads is seeking a hands-on Data Engineer to join our Data Engineering & Platforms team and help shape the future of data. This is an opportunity for a mid-level engineer with 3 to 5 years of experience building scalable data solutions in modern cloud environments. You'll work on enterprise-grade data platforms, delivering reliable and secure data pipelines that support analytics, reporting, and decision-making across the organisation. NOTE: Due to security clearance requirements, you must be an Australian Citizen and capable of obtaining a Baseline Security Clearance.

What you’ll bring

All qualifications

Core experience

  • 3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar
  • Experience optimising Spark and Databricks workloads for scalability and performance
  • Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions
  • Demonstrated understanding of big data concepts and experience processing large and complex datasets
  • Strong experience within AWS-based data environments and services
  • Proven experience designing, building, and supporting end-to-end data pipelines
Qualification wording
3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar
Experience optimising Spark and Databricks workloads for scalability and performance
Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions
Demonstrated understanding of big data concepts and experience processing large and complex datasets
Strong experience within AWS-based data environments and services
Proven experience designing, building, and supporting end-to-end data pipelines

Tools in this posting

  • Python
  • SQL
  • Azure
  • Databricks
  • dbt
  • Kafka
  • Spark
  • AWS
Source — Tool mentions in context
- 3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar - Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions - Extensive experience working with distributed data processing frameworks, particularly Apache Spark
- Experience in Databricks, Apache Spark with a focus on AWS - Proficiency across CI/CD, Azure DevOps & infrastructure - Fantastic permanent role in Melbourne CBD with hybrid option to work from home
- Solid understanding of data modelling, data warehousing, ETL/ELT processes, orchestration, integration, and automation - Experience applying CI/CD practices within data engineering environments, including exposure to Azure DevOps, infrastructure automation, and deployment pipelines - Knowledge of data governance, security, and data quality best practices
We work collaboratively with the Victorian State Government to ensure we fulfill regulatory requirements, deliver State projects and safeguard customer data. The Victorian State Government retains sole responsibility for road access, infrastructure and safety. - Experience in Databricks, Apache Spark with a focus on AWS - Proficiency across CI/CD, Azure DevOps & infrastructure
- Australian Citizens only (required to obtain a Baseline Security Clearance) - 3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar - Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions
What Will Set You Apart - Experience optimising Spark and Databricks workloads for scalability and performance - The ability to explain the technical challenges you've faced, how you approached them, and the outcomes you achieved
- Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions - Extensive experience working with distributed data processing frameworks, particularly Apache Spark - Demonstrated understanding of big data concepts and experience processing large and complex datasets
- Demonstrated understanding of big data concepts and experience processing large and complex datasets - Strong experience within AWS-based data environments and services - Proven experience designing, building, and supporting end-to-end data pipelines

About Rlservices

As a Data Engineer, you will design, build, optimise, and maintain end-to-end data pipelines that ingest, process, and deliver high-quality data across the organisation.

In the employer’s words · Read in context

Job description

View original posting ↗

At VicRoads the work you do has real impact. Our work connects people and communities. We keep Victorians moving safely and smoothly today and help them be ready for tomorrow.

VicRoads empowers our people to learn and grow– focusing on impact and innovation. We reflect the diversity of Victoria and foster clever thinking to keep you and the community moving.

VicRoads is progressing too. In August 2022, we started on a new chapter when the Victorian State Government partnered with Aware Super, Australian Retirement Trust, and Macquarie Asset Management to operate registration and licensing services on its behalf.

We work collaboratively with the Victorian State Government to ensure we fulfill regulatory requirements, deliver State projects and safeguard customer data. The Victorian State Government retains sole responsibility for road access, infrastructure and safety.

  • Experience in Databricks, Apache Spark with a focus on AWS

  • Proficiency across CI/CD, Azure DevOps & infrastructure

  • Fantastic permanent role in Melbourne CBD with hybrid option to work from home

Are you passionate about building Data Solutions that power better outcomes?

VicRoads is seeking a hands-on Data Engineer to join our Data Engineering & Platforms team and help shape the future of data.

This is an opportunity for a mid-level engineer with 3 to 5 years of experience building scalable data solutions in modern cloud environments. You'll work on enterprise-grade data platforms, delivering reliable and secure data pipelines that support analytics, reporting, and decision-making across the organisation.

NOTE: Due to security clearance requirements, you must be an Australian Citizen and capable of obtaining a Baseline Security Clearance.

About the Opportunity

As a Data Engineer, you will design, build, optimise, and maintain end-to-end data pipelines that ingest, process, and deliver high-quality data across the organisation.

You will work with modern data technologies and distributed computing frameworks to solve complex data challenges, improve data accessibility, and support the delivery of trusted business insights.

Key responsibilities include:

  • Designing and developing scalable, secure, and resilient data pipelines

  • Building and maintaining data integrations across multiple platforms and data sources

  • Optimising pipeline performance and data processing workloads

  • Supporting cloud-based data engineering solutions and platform enhancements

  • Applying engineering best practices across automation, testing, deployment, and monitoring

  • Working closely with technical and business stakeholders to translate requirements into effective solutions

  • Contributing to data governance, security, reliability, and continuous improvement initiatives

About You

You're an engineer first and foremost. You enjoy solving complex data challenges, understand how data moves across large-scale environments, and take pride in building solutions that are performant, maintainable, and scalable.

We're particularly interested in candidates who have built and maintained end-to-end data pipelines in modern data environments and can demonstrate depth of experience across large-scale data processing projects.

What You'll Bring

  • Australian Citizens only (required to obtain a Baseline Security Clearance)

  • 3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar

  • Strong proficiency in SQL and Python, with hands-on experience developing data engineering solutions

  • Extensive experience working with distributed data processing frameworks, particularly Apache Spark

  • Demonstrated understanding of big data concepts and experience processing large and complex datasets

  • Strong experience within AWS-based data environments and services

  • Proven experience designing, building, and supporting end-to-end data pipelines

  • Solid understanding of data modelling, data warehousing, ETL/ELT processes, orchestration, integration, and automation

  • Experience applying CI/CD practices within data engineering environments, including exposure to Azure DevOps, infrastructure automation, and deployment pipelines

  • Knowledge of data governance, security, and data quality best practices

What Will Set You Apart

  • Experience optimising Spark and Databricks workloads for scalability and performance

  • The ability to explain the technical challenges you've faced, how you approached them, and the outcomes you achieved

  • Strong stakeholder engagement skills, with the ability to partner effectively with both technical teams and business stakeholders

  • A proactive, continuous improvement mindset and a passion for building robust engineering solutions

Our culture 

Innovation powers progress, but it doesn’t come without support. To attract, retain, and develop talented people, we reward initiative and ingenuity, foster collaboration, and offer dynamic career development. At VicRoads, we embrace diversity and inclusion and we’re proud our workforce reflects the community we work for. 

What we offer 

  • Salary packaging, Fitness Passport & discounts to hundreds of retailers

  • Opportunities for professional and personal development 

  • Flexible working arrangements and family-friendly practices, including 16 weeks paid parental leave 

How to apply 

We encourage applications from people of all genders, backgrounds and communities. If you need any adjustments to our recruitment process or the role itself, please let us know when applying. 

Please submit your application via the “Apply” button.

For a copy of the Position Description please mail: talentacquisition@vicroads.com.au    

Unfortunately, applications cannot be accepted via this email.   

#LI-KN1

VicRoads is required to evidence your right to work in Australia and may ask for your consent to check records maintained by the Department of Immigration and Border Protection as well as records maintained by Victoria Police and VicRoads as part of the selection process. Information provided to VicRoads will be treated in the strictest confidence. Please note that due to legal requirements you must be predominantly located in Australia and for certain roles, predominantly located in Melbourne or Victoria.

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

Complete your application on rlservices.wd105.myworkdayjobs.com. The employer’s form will show what is required.

Already applied? Track this application

Source & posting history

View original posting ↗

Source notes

Source excerpts

Selected passages from the saved posting. Check the full description for conditions and exceptions.

Pay

No pay amount identified in the saved description.

Location & working pattern

Melbourne - Head Office

- Proficiency across CI/CD, Azure DevOps & infrastructure - Fantastic permanent role in Melbourne CBD with hybrid option to work from home Are you passionate about building Data Solutions that power better outcomes?
Work authorization
This is an opportunity for a mid-level engineer with 3 to 5 years of experience building scalable data solutions in modern cloud environments. You'll work on enterprise-grade data platforms, delivering reliable and secure data pipelines that support analytics, reporting, and decision-making across the organisation. NOTE: Due to security clearance requirements, you must be an Australian Citizen and capable of obtaining a Baseline Security Clearance. About the Opportunity
More source context
What You'll Bring - Australian Citizens only (required to obtain a Baseline Security Clearance) - 3 to 5 years' experience building and maintaining data pipelines using modern data stack technologies such as Databricks, Apache Spark, dbt, Kafka, or similar

More relevant text appears in the full description.

Status in our records
Active
First seen by us
Jun 19, 2026
Recorded sightings
36
Last seen by us
Sep 25, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.

Report an error

See how this role fits your experience

Add your resume to compare the role’s scope, tools and requirements with your experience.

Find answers in the posting

AI
How answers work

AI selects complete passages from this posting. Check them for conditions and exceptions.

Uses this posting and your question. No profile needed.