Job Description

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10th September, 2026 n

JOB TITLE: Data Engineering Intern (Cloud & AI Focus)
LOCATION: Paramatta, Sydney
TYPE: Internship (3 days per week)
ABOUT THE POSITION:
n We are looking for a motivated Data Engineering Intern to join our team and help build the future of our data infrastructure. Our host company provides meaningful work experience, strong mentorship, and a collaborative work environment. We are particularly interested in candidates with a foundational understanding of cloud ecosystems (Azure, GCP, or AWS) and a passion for AI and modern data platforms. For the right candidate, we are planning to offer a permanent position upon successful completion of the internship.
ABOUT YOU:
You must:

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- Be studying a relevant degree qualification (Computer Science, Data Engineering, Information Systems, or related) or be a recent graduate.
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- Have excellent communication skills, both written and spoken.
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- Possess a foundational understanding of at least one major cloud platform (Azure, GCP, or AWS).
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- Be genuinely curious about AI/ML workflows and how data pipelines power intelligent applications.
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- Be committed to a career in data engineering, cloud architecture, or AI infrastructure.
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- Be able to work at least 3 days per week.
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LEARNING OUTCOMES & RESPONSIBILITIES: n
nYou will gain hands-on experience and be exposed to interesting work in the following areas:n
Cloud Data Platforms: n
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- Assisting in the design and deployment of cloud-based data warehouses and data lakes (e.g., Azure Synapse, GCP BigQuery, AWS Redshift/S3).
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- Configuring and managing cloud storage, compute resources, and networking for data workloads.
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- Implementing Infrastructure-as-Code (IaC) using tools like Terraform or Bicep under supervision.
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Data Engineering & ETL/ELT: n
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- Designing, building, and maintaining scalable ETL/ELT pipelines to ingest data from various sources (APIs, databases, streaming data).
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- Performing data transformation and orchestration using tools like Azure Data Factory, GCP Dataflow, AWS Glue, or Apache Airflow.
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- Monitoring pipeline performance, reliability, and cost-efficiency.
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AI & Advanced Analytics Exposure: n
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- Preparing and curating high-quality datasets for machine learning and AI model training.
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- Collaborating with data scientists to productionize ML models (MLOps) using cloud AI services (e.g., Azure ML, GCP Vertex AI, AWS SageMaker).
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- Exploring and implementing vector databases or semantic search solutions to support generative AI use cases.
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Data Governance & Quality: n
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- Implementing data validation, cleansing, and deduplication processes.
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- Managing metadata, data lineage, and data cataloging to ensure data discoverability and governance.
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- Supporting security best practices, including role-based access control and data encryption.
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Reporting & Optimization: n
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- Optimizing query performance and storage costs within the cloud environment.
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- Troubleshooting data pipeline failures and implementing robust error-handling mechanisms.
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- Documenting data engineering processes, data dictionaries, and system architectures.
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WHAT WE OFFER: n
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- Real-World Impact: Work on live projects that power AI-driven products and business intelligence.
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- Mentorship: Direct guidance from experienced cloud and data engineers.
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- Cutting-Edge Tech: Get hands-on with the latest cloud data services and AI platforms.
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- Career Pathway: A clear route to a permanent role for high-performing interns.
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- Adaptable Work: Hybrid/remote options with a focus on work-life balance.
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n WHY SHOULD YOU APPLY? n
nYou will benefit with: n
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- Work experience guaranteed for 12 weeks.
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- Interview the interviewer to assess the quality of the internship.
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- Internship agreement with a structured training plan.
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- Reputable host company.
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- Challenging, meaningful, and relevant job duties
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- Performance appraisals by the supervisor to ascertain that you are learning and progressing on the job.
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- Options to work 3, 4, or 5 days per week so you can balance internship with your study or work commitments.
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- A chance to prove your worth to secure a job offer.
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- Job placement assistance after internship.
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- Work experience insurance cover for peace of mind.
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- Compliance with the Fair Work Ombudsman’s guidelines for an internship to ascertain that you are the one benefiting the most from the internship, not your host company.
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