Data Engineering Intern (Remote – Australia)

About the Opportunity

We are recruiting on behalf of one of our clients for the position of Data Engineering Intern . This remote internship is designed for students and recent graduates who are passionate about data engineering, cloud technologies, database management, and building scalable data solutions.

This internship provides practical exposure to modern data engineering practices, including data pipeline development, ETL and ELT processes, database management, cloud-based data platforms, and data infrastructure. Interns will gain hands-on experience working with industry-standard tools and technologies in a collaborative remote environment.

Position Details

Position: Data Engineering Intern

Location: Remote (Australia)

Internship Duration: 2–3 Months

Work Schedule: Flexible schedule

Employment Type: Internship

Role Overview

As a Data Engineering Intern, you will contribute to the development, maintenance, and optimisation of data pipelines and infrastructure that support analytics, reporting, and business intelligence initiatives. You will work with databases, cloud technologies, and data processing frameworks while gaining practical experience with modern data engineering workflows and best practices.

Key Responsibilities

- Assist in collecting, processing, transforming, and integrating data from multiple sources.
- Support the development, testing, and maintenance of ETL and ELT pipelines.
- Help build and optimise data workflows for analytics, reporting, and business intelligence.
- Write SQL queries to extract, transform, validate, and analyse data.
- Ensure data quality, consistency, accuracy, and reliability across data systems.
- Assist with database administration, data modelling, and data warehousing activities.
- Collaborate with data analysts, data scientists, and engineering teams to deliver data-driven solutions.
- Support data migration, workflow automation, and infrastructure improvement initiatives.
- Prepare and maintain technical documentation for data pipelines, workflows, and engineering processes.
- Stay updated with emerging data engineering technologies, cloud platforms, and industry best practices.

Eligibility Criteria





- Currently pursuing or recently completed a Bachelor's or Master's degree in Data Engineering, Computer Science, Software Engineering, Information Technology, Data Science, or a related discipline.
- Strong interest in data engineering, cloud computing, databases, and large-scale data systems.
- Ability to work independently while collaborating effectively within a remote team environment.

Required Skills

- Basic proficiency in Python programming.
- Understanding of SQL and relational database concepts.
- Familiarity with database design and data modelling principles.
- Basic knowledge of ETL and ELT processes and data pipeline architecture.
- Understanding of data structures and fundamental programming concepts.
- Strong analytical, logical reasoning, and problem-solving abilities.
- Good written and verbal communication skills.
- Eagerness to learn modern data engineering technologies and industry practices.

Preferred Skills

- Experience with Python libraries such as Pandas, PySpark, or similar data processing frameworks.
- Knowledge of databases including MySQL, PostgreSQL, Microsoft SQL Server, or equivalent platforms.
- Familiarity with Apache Spark, Hadoop, or distributed data processing technologies.
- Understanding of cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP).
- Knowledge of Apache Airflow or other workflow orchestration tools.
- Familiarity with Git and version control systems.
- Understanding of data warehousing concepts and data lake architectures.
- Exposure to data pipeline development and workflow automation.
- Strong critical thinking and analytical problem-solving skills.

Who Can Apply?

- Undergraduate and postgraduate students currently pursuing relevant degree programmes.




- Recent graduates seeking practical industry experience in Data Engineering.
- Individuals interested in careers in Data Engineering, Big Data, Cloud Engineering, Data Platform Development, or Data Infrastructure.
- Candidates who are self-motivated, eager to learn, and passionate about building scalable and efficient data solutions.

Internship Benefits

- Internship Completion Certificate upon successful completion of the programme.
- Fully remote internship with flexible working arrangements.
- Practical experience working with modern data engineering tools and technologies.
- Opportunity to contribute to real-world data pipeline, ETL, and cloud-based projects.
- Portfolio development through industry-focused data engineering projects.
- Performance-based Letter of Recommendation for outstanding interns.
- Opportunity to be considered for future internship or graduate opportunities based on performance.
- Resume enhancement, LinkedIn profile guidance, and interview preparation support.
- Networking opportunities with industry professionals and fellow interns.
- Access to technical learning resources, workshops, and data engineering case studies.
- Recognition for outstanding performance throughout the internship.
- Hands-on exposure to cloud platforms, databases, and enterprise data infrastructure.
- Flexible work schedule to support academic and personal commitments.

Equal Opportunity Statement Our client is committed to fostering an inclusive and diverse workplace where every individual is respected and provided with equal opportunities. Applications are welcomed from candidates of all backgrounds. Selection decisions are based solely on qualifications, skills, and organisational requirements.

Why Join This Internship?

This internship offers an excellent opportunity to gain practical experience in Data Engineering by working on real-world projects involving data pipelines, ETL processes, databases, cloud technologies, and modern data infrastructure. Throughout the programme, you will develop technical expertise, strengthen your problem-solving abilities, and build a professional portfolio that will support your future career in the rapidly evolving field of Data Engineering.

📌 Data Engineering Intern (Australia)
🏢 Bright Network Consulting
📍 Australia