In-Demand Devops engineer (ai) Jobs in Fitzroy, Vic

Senior Data Engineer
Kinetic —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- DevOps
- Databases
13d
Engineering & Release Lead
Movember —Melbourne VIC
- $155,000 - $170,000 a year
- Full-time
- Hybrid work
- Bar
- Management
- DevOps
- Annual leave
- Parental leave
Data Engineering Lead
HUB24 —Melbourne VIC
- Full-time
- Computer Science
- Engineering
- Bachelor's degree
Lead Engineer - Azure
LAB3 —Melbourne VIC
- Full-time
- Azure
- AI
Quick Apply
8d
Senior Technical Business Analyst
AustralianSuper —Melbourne VIC
- Full-time
- Azure
- Computer Science
- DevOps
4d
Senior .NET Developer
Computershare —Melbourne VIC
- Full-time
- Azure
- DevOps
- SQL
- Employee stock purchase plan
- Work from home
1d
Solutions Architect
Future Secure AI —Melbourne VIC
- Azure
- Computer Science
- DevOps
Quick Apply
AI Engineer
BlueScope —Melbourne VIC
- Full-time
- Hybrid work
- Azure
- Management
- Computer Science
Quick Apply
15h
Senior Infrastructure Engineer | Linux/Unix
Leidos —Scoresby VIC
- Full-time
- Computer science
- Azure
- Computer Science
- Annual leave
10h
Cloud Engineer
Nixil —Melbourne VIC
- Contract
- Azure
- DevOps
- Administrative experience
8h
Data Integration Engineer
Leidos —Scoresby VIC
- Full-time
- Computer science
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- Computer Science
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10h
Director, Edge Engineering
Verra Mobility —Melbourne VIC
- Full-time
- Hybrid work
- Computer Science
- Engineering
- Bachelor's degree
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13h

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DevOps Platform Engineer
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Senior Data Engineer

Kinetic -
Melbourne VIC

Apply Now

Job Details

Full-time
13 days ago

Qualifications

CI/CD
Data modelling
Azure
DevOps
Logistics
Databases
SQL
Machine learning
APIs
Scalability
HRIS
AI
Data warehouse
Analytics

Full Job Description

Senior Data Engineer | Data Platforms

Initial 12 Month Max-Term contract
Supporting the design and build of our new data platform across our ANZ business
True flexibility and hybrid ways of working

About the Role

Kinetic is investing in a modern enterprise data platform that will transform how data is used across our ANZ business. As a Senior Data Engineer, you'll play a key role in designing and building the foundations of that platform, developing scalable data pipelines, integrations and data models that enable trusted reporting, analytics and future AI capabilities.

Working as part of our Data & AI Program, you'll collaborate with architects, analysts and governance specialists to create a platform that will support decision-making across the business for years to come.

What You Will Do

Design, build and implement scalable data solutions using Microsoft Fabric and Azure technologies to support enterprise reporting, analytics and AI initiatives.
Develop data ingestion, integration and transformation pipelines from multiple enterprise platforms including ERP, HRIS, Payroll, Asset Management and Operational systems.
Design and build data lakehouse structures, data models and engineering frameworks that support trusted and reusable data assets.
Establish and promote data engineering standards, patterns and best practices across the data platform.
Work closely with the Solution Architect to translate architectural designs into fit-for-purpose technical solutions.
Implement and uphold data quality, lineage, security and monitoring controls within platform solutions.
Support the development of CI/CD pipelines, deployment processes and platform automation capabilities.
Produce and maintain technical documentation, design artefacts and support materials.
Contribute to platform roadmap activities, continuous improvement initiatives and future capability uplift opportunities.

What You Will Need

Essential

Strong experience in Data Engineering, Data Platform or Integration related roles.
Proven experience delivering enterprise data platforms within cloud-based environments.
Strong hands-on experience with Microsoft Fabric and Azure data services is essential.
Advanced SQL development and performance optimisation skills.
Experience designing and developing scalable ETL/ELT pipelines.
Experience working with APIs, databases, file-based integrations and enterprise applications.
Strong understanding of data modelling, data warehousing and lakehouse principles.
Experience implementing data quality, monitoring and governance controls.
Ability to work independently and manage competing priorities with minimal direction.

Desirable

Experience supporting enterprise transformation programs.
Exposure to AI, machine learning or advanced analytics initiatives.
Experience with Azure DevOps and CI/CD practices.
Microsoft Fabric, Azure Data Engineer or related certifications.
Experience working within transport, logistics, infrastructure or asset-intensive industries.
Qualifications/education/experience

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!

Apply Now

Refine Your Search

devops engineer (ai) jobs in fitzroy, vic

Senior Data Engineer

Engineering & Release Lead

Data Engineering Lead

Lead Engineer - Azure

Senior Technical Business Analyst

Senior .NET Developer

Solutions Architect

AI Engineer

Senior Infrastructure Engineer | Linux/Unix

Cloud Engineer

Data Integration Engineer

Director, Edge Engineering

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