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Melbourne, Victoria, Australia
Hybrid
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.
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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.
