11th August, 2026

JOB TITLE: Data Engineering Intern (Cloud & AI Focus)

LOCATION: Paramatta, Sydney

TYPE: Internship (3 days per week)

ABOUT THE POSITION:

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:

- Be studying a relevant degree qualification (Computer Science, Data Engineering, Information Systems, or related) or be a recent graduate.
- Have excellent communication skills, both written and spoken.
- Possess a foundational understanding of at least one major cloud platform (Azure, GCP, or AWS).
- Be genuinely curious about AI/ML workflows and how data pipelines power intelligent applications.
- Be committed to a career in data engineering, cloud architecture, or AI infrastructure.
- Be able to work at least 3 days per week.

LEARNING OUTCOMES & RESPONSIBILITIES:

You will gain hands-on experience and be exposed to interesting work in the following areas:

Cloud Data Platforms:

- Assisting in the design and deployment of cloud-based data warehouses and data lakes (e.g., Azure Synapse, GCP BigQuery, AWS Redshift/S3).
- Configuring and managing cloud storage, compute resources, and networking for data workloads.




- Implementing Infrastructure-as-Code (IaC) using tools like Terraform or Bicep under supervision.

Data Engineering & ETL/ELT:

- Designing, building, and maintaining scalable ETL/ELT pipelines to ingest data from various sources (APIs, databases, streaming data).
- Performing data transformation and orchestration using tools like Azure Data Factory, GCP Dataflow, AWS Glue, or Apache Airflow.
- Monitoring pipeline performance, reliability, and cost-efficiency.

AI & Advanced Analytics Exposure:

- Preparing and curating high-quality datasets for machine learning and AI model training.
- Collaborating with data scientists to productionize ML models (MLOps) using cloud AI services (e.g., Azure ML, GCP Vertex AI, AWS SageMaker).
- Exploring and implementing vector databases or semantic search solutions to support generative AI use cases.

Data Governance & Quality:

- Implementing data validation, cleansing, and deduplication processes.
- Managing metadata, data lineage, and data cataloging to ensure data discoverability and governance.
- Supporting security best practices, including role-based access control and data encryption.

Reporting & Optimization:

- Optimizing query performance and storage costs within the cloud setting.




- Troubleshooting data pipeline failures and implementing robust error-handling mechanisms.
- Documenting data engineering processes, data dictionaries, and system architectures.

WHAT WE OFFER:

- Real-World Impact: Work on live projects that power AI-driven products and business intelligence.
- Mentorship: Direct guidance from experienced cloud and data engineers.
- Cutting-Edge Tech: Get hands-on with the latest cloud data services and AI platforms.
- Career Pathway: A clear route to a permanent role for high-performing interns.
- Flexible Work: Hybrid/remote options with a focus on work-life balance.

WHY SHOULD YOU APPLY?

You will benefit with

- Work experience guaranteed for 12 weeks.
- Interview the interviewer to assess the quality of the internship.
- Internship agreement with a structured training plan.
- Reputable host company.
- Challenging, meaningful, and relevant job duties
- Performance appraisals by the supervisor to ascertain that you are learning and progressing on the job.
- Options to work 3, 4, or 5 days per week so you can balance internship with your study or work commitments.
- A chance to prove your worth to secure a job offer.
- Job placement assistance after internship.
- Work experience insurance cover for peace of mind.
- 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.

Check out some of our success stories at:

www.studyandwork.com.au/internship

Want to start your career? Why wait?

Apply now!

📌 Data Analyst Intern (Sydney)
🏢 Study And Work
📍 Sydney