AI and Data Engineer

Want to be a part of Asia Pacific & Japan’s (APJ) largest, most innovative, and rapidly growing data centre company? 

AirTrunk is a technology company with a powerful purpose - to scale and sustain the relentless growth of the region’s digital future. We do this by continuously redefining and delivering hyperscale data centres that meet the needs of our customers - the world’s most transformational companies. And we’re doing so sustainably, for today and tomorrow. 

Having opened Australia’s first and largest hyperscale data centres in 2017, we set our eyes on rapid expansion and now operate a platform of hyperscale data centres across the APJ region. With backing from our investors, including Blackstone, this is just the beginning… 

Come join the A-Team at AirTrunk, where the cloud meets the ground.  

A Snapshot 

As an AI & Data Engineer at AirTrunk, you will contribute to the design, build, and operation of the data and AI systems that power our next-generation platforms. You’ll work across data engineering, AI engineering, and platform technologies to develop scalable and reliable solutions that support operational efficiency, sustainability, and intelligent decision-making across our data centre and business ecosystem. This role is ideal for an engineer with a solid foundation in software and data engineering who is looking to deepen their experience in modern data platforms and applied AI. You will work closely with senior engineers and platform teams to build production-ready data pipelines, AI solutions, and platform capabilities while continuing to grow your technical skills.

Your Day to Day

AI Engineering & Applications

• Support the development and deployment of AI and ML solutions that enhance AirTrunk’s operations, including automation and predictive use cases.
• Assist in building and integrating LLM-based applications and workflows using tools such as OpenAI, Databricks, or LangChain.
• Contribute to the development of simple agentic or automation solutions under guidance from senior engineers.
• Help test, evaluate, and improve model performance and outputs.

Data Engineering & Pipelines

• Build, maintain, and optimise batch and streaming data pipelines that support analytics, reporting, and AI use cases.
• Develop and test data transformations using tools such as dbt and SQL to create clean, reliable, and reusable datasets.
• Assist in integrating data from various enterprise systems into the AI & Data Platform.
• Support data quality, validation, and monitoring processes to ensure trusted and consistent data.

Platform & Engineering Practices

• Contribute to CI/CD pipelines and engineering workflows for data and AI solutions using tools such as Git, Terraform, and Docker.
• Follow established engineering standards, patterns, and best practices to ensure quality, reliability, and maintainability.
• Assist with deployment, configuration, and support of data and AI workloads in cloud environments such as Azure and Databricks.
• Participate in code reviews and contribute to improving team engineering practices.

MLOps, DataOps & Observability

• Support the implementation of MLOps and DataOps practices, including deployment, monitoring, and basic lifecycle management of data pipelines and models.
• Assist in setting up logging, monitoring, and alerting to ensure visibility into pipeline and model performance.
• Help troubleshoot issues in data pipelines and AI systems, working with senior engineers to resolve production challenges.
• Contribute to testing and validation processes to ensure reliability and accuracy.

Collaboration & Learning

• Collaborate with other engineers to deliver integrated, production-ready solutions.
• Work closely with stakeholders to understand requirements and translate them into technical tasks.
• Actively learn from senior team members and contribute to knowledge sharing within the Data & AI team.
• Continuously build skills in data engineering, AI technologies, and cloud platforms.

Requirements  

• 3 to 5 years’ experience in data engineering, software engineering, or AI/ML engineering, with exposure to building data or AI solutions in a cloud environment.
• Foundational experience building and maintaining data pipelines, with familiarity in batch and streaming processing concepts.
• Experience working with SQL and Python for data processing, transformation, and basic application development.
• Exposure to modern data platforms and tools such as Databricks, dbt, Kafka, or similar technologies.
• Basic understanding of data modelling concepts and data architecture patterns such as lakehouse or medallion architecture.
• Exposure to AI/ML concepts and tools, with some experience building or integrating machine learning or LLM-based solutions.
• Familiarity with cloud platforms such as Azure, AWS, or GCP, and an understanding of deploying applications or data workflows in the cloud.
• Understanding of software engineering best practices including version control (Git), testing, and code quality.
• Exposure to CI/CD, containerisation (Docker), or infrastructure as code (Terraform) is beneficial but not required.
• Awareness of data quality, governance, and security considerations in building data and AI solutions.
• Strong problem-solving skills, attention to detail, and a willingness to learn and grow in a fast-paced environment.
• Good communication and collaboration skills, with the ability to work effectively in cross-functional teams.

The AirTrunk Culture  

Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst you’re helping scale our region’s digital future, we’ll help you Grow@Hyperscale and unleash your full potential. 

The pace in which we operate means you’ll feel an electric atmosphere at AirTrunk. We are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values, going above and beyond, and being dynamic, transparent, and responsive.    

Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment, where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged. 

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EEO Statement

The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email [email protected]