Macquarietechnologygroup1mo ago

Data & DevOps Engineer

SydneyPermanent Full-timemid

DevOps & InfrastructureDevops EngineerInfrastructure & Cloud

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Overview

About us We’re proud to be Australia's #1 Technology Great Place to Work 2025 for the second year running! This is in addition to being Great Place to Work Certified 2024.

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DevOps & InfrastructureDevops EngineerInfrastructure & Cloud

About us

We’re proud to be Australia's #1 Technology Great Place to Work 2025 for the second year running! This is in addition to being Great Place to Work Certified 2024.

Macquarie Cloud Services are the Australian specialists in cloud services for business and government. Locally owned and operated, with an industry-leading customer service model, we’re trusted by our customers to provide the services that enable their business success.

We have made it our challenge to make our people feel good and love the work they do. Because of this, our people are energised and motivated in their work.

We believe that collaboration & team connection is key for success. This role will be based in Sydney with a blended working arrangement of 3 days in our CBD offices & the remaining working from home. #LI-Hybrid

Join a newly established and fast-growing capability at Macquarie Cloud Services, where you’ll play a key role in shaping how we deliver data-driven cloud solutions from day one. This role is data-first, designed for engineers who are passionate about building modern data platforms, AI-enabled solutions, and scalable data architectures in Azure with automation and Infrastructure as Code (IaC) at the core.You’ll work alongside a high-performing team focused on innovation, automation, and delivering exceptional outcomes for customers, while continuously learning and solving complex, real-world data challenges. In this role, you will design, build, and automate modern data platforms in Azure, ensuring solutions are scalable, repeatable, and aligned to best practices.

You will also work in an agile environment, collaborating closely with customers and internal teams to continuously improve reliability, scalability, and performance.

This is not a traditional infrastructure role.This role is for engineers who:

- Think data-first, not infrastructure-first
- Want to work on modern data platforms, analytics, and AI solutions
- Use infrastructure and automation as enablers for data outcomes
- You’ll be part of a team that:
  - Delivers cutting-edge Data & AI solutions
  - Invests heavily in your growth and development
  - Encourages ownership, innovation, and real impact

We have been awarded Australia's #1 Great Place to Work 2025 for the second year running!

We're Great Place to Work Certified 2024, 2025 and 2026.

For the third year in a row, we have been named a Global Winner of the 2026 Gallup Exceptional Workplace Award!

We're the #1 Managed Services Cloud business in Australia.

We have the highest Net Promoter Score on the ASX, the World's best customer experience & crowned in 2020 at the World Communications Awards.

You’ll make an impact: Enjoy being part of a driven team with a collaborative culture that values decision-makers and action.

We Invest in you: Accelerate your career through our learning and development opportunities - think Gallup strengths-based training, defined career pathways and fantastic internal mobility opportunities across the group.

Building and managing cloud-native data platforms and database solutions
Delivering Data & AI solutions using services such as Microsoft Fabric, Azure Synapse, and Azure AI
Automating infrastructure and data environments using Infrastructure as Code (Terraform/Bicep)
Developing and maintaining data pipelines, integrations, and data services
Integrating data solutions into CI/CD pipelines for repeatable deployments
Supporting customers in modernising their data estate and analytics capabilities
Embedding AI capabilities into customer solutions where relevant

Strong hands-on experience with Azure Data platforms and services, including:

Structured: Azure SQL Database, SQL Server (IaaS), PostgreSQL, MySQL
Unstructured: Blob Storage
SaaS: APIs
Proven experience delivering data platforms, data pipelines, or analytics solutions
Hands-on experience with Data & AI services, such as:

Microsoft Fabric
Azure Synapse Analytics, Azure Data Factory
Azure AI Foundry / Azure AI Services
Experience working with data pipelines and data processing (Python or similar)

Infrastructure as Code & Automation (Mandatory)

Strong experience building and managing environments using Infrastructure as Code

Terraform (preferred)
Bicep (or willingness to learn)
Experience with:

Git
CI/CD pipelines (GitHub Actions, Azure DevOps or similar)
Scripting skills (PowerShell and/or Python)

5 –10 years in roles such as Data Engineer, Cloud Data Engineer, DevOps (Data-focused), or Platform Engineer
Proven track record delivering data-centric cloud solutions in Azure
Strong documentation and communication skills
A mindset focused on automation, scalability, and continuous improvement