Data Engineer

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Kinetic is hiring multiple Data Engineers for a Melbourne onsite role on 12 month max-term contracts with flexible arrangements. This hands-on position will design, build and support enterprise data platforms and warehousing in Azure, develop scalable pipelines, manage ingestion and transformations, and deliver trusted data for business decisions. You’ll work with SQL, Python and APIs, and collaborate with data leaders and cross-functional teams; experience with Azure Data Factory or Synapse is preferred. Bring ELT/ETL, data warehousing knowledge, problem solving and clear communication. Highly regarded: enterprise-scale data environments and DevOps practices. How to apply: tailor your resume to highlight Azure, pipelines and collaboration; apply via the Apply button; Kinetic values diversity and is an equal opportunity employer.

Data Engineer

• Multiple 12 month max-term contracts available
• Melbourne location with try flexibility on offer

About the Role

We're growing our Data & Analytics capability and are looking for multiple Data Engineers to join our team.

Working closely with our Data Leaders and broader data team, you'll help design, build and support Kinetic's enterprise data platforms and warehousing solutions. This is a hands-on role where you'll work with large and complex datasets, develop scalable data pipelines, and help enable trusted data across the business.

This opportunity suits a Data Engineer with some experience in modern cloud data environments who enjoys solving problems, improving data quality, and delivering reliable data solutions that support business decision-making.

What You'll Be Doing

• Supporting the ongoing development and operation of Kinetic's enterprise data platforms.
• Designing, building and maintaining scalable data pipelines.
• Developing and supporting data warehousing solutions within Microsoft Azure.
• Managing data ingestion, transformation and integration processes.
• Supporting platform administration, performance monitoring and troubleshooting activities.
• Working with large and complex datasets to deliver high-quality data solutions.
• Contributing to technical documentation, data models and data flow design.
• Collaborating with Data Engineers, developers and business stakeholders across the organisation.

What You Bring

• Experience building ELT/ETL pipelines and working with SQL.
• Strong understanding of data warehousing and database management principles.
• Experience with Azure technologies such as Data Factory and/or Synapse Analytics.
• Proficiency in SQL, Python or other data engineering tools and languages.
• Experience working with APIs and system integrations.
• Strong problem-solving skills and attention to detail.
• Ability to communicate effectively and work collaboratively within a team environment.

Highly Regarded

• Experience working with large-scale enterprise data environments.
• Exposure to Azure data platforms and cloud-based data solutions.
• Experience with GitHub, Azure DevOps or code versioning practices.
• Experience supporting analytics, reporting or visualisation teams.

About us:

At Kinetic, we don't just move people - we're creating the positive change our planet needs. As a leader in sustainable transport, we're committed to creating cleaner, safer, and greener environments for generations to come.

Our size and scale give our people real opportunities to learn, grow, and progress in their careers. Calm, positive and respectful team players thrive here. Our people embrace change and are encouraged to stretch their comfort zone while making a difference. We challenge each other to be our best.

We're driven by respect, diversity and genuine connection. From networking groups to community partnerships and volunteering, our camaraderie naturally brings people together. Our energy and dedication keep communities moving and our people growing.

How to apply:

Kinetic is proud to be an Equal Opportunity Employer and our people represent the community which we service. We invite all suitably qualified applicants to apply, including First Nations People, and people from diverse social, cultural and gender backgrounds.

If you're interested in this rewarding role with Kinetic then click the 'Apply' button now!