Graduate Data Engineers

At NCS Australia, we’re the challenger alternative in technology services and consulting. With more than 47 years of Australian heritage, we partner with governments and leading organisations to solve complex challenges, embrace new opportunities and deliver outcomes that make a real difference.

Our people bring together expertise across technology, consulting, delivery, operations, sales and corporate functions. We work collaboratively, challenge the status quo and give our people the opportunity to make an impact — for our clients, our communities and each other.

Job Description

We are looking for motivated and enthusiastic Graduate Data Engineers to join our growing Data & AI team in Melbourne. This is an excellent opportunity for recent graduates who are passionate about data, analytics, artificial intelligence, and technology, and are looking to build a career delivering modern data and AI solutions for leading Australian organisations.

You will work alongside experienced consultants, architects, engineers, and data scientists, helping organisations unlock value from their data through the design, development, and support of modern cloud-based data platforms, analytics solutions, and AI-enabled capabilities. Our team delivers enterprise-scale solutions across a range of industries, leveraging technologies such as Databricks, Snowflake, Microsoft Fabric, Azure, Power BI, and Generative AI.

As a Graduate Data Engineer, you will work closely with experienced data professionals to support the development and maintenance of modern data platforms and data products. You will assist in building and optimising data pipelines using Python and SQL, perform data extraction, transformation and loading (ETL/ELT) activities, and help ensure data quality, reliability, and governance across enterprise environments. You will contribute to the design and implementation of cloud-native data solutions on platforms such as Databricks and Snowflake, support analytics and reporting initiatives, troubleshoot data issues, and collaborate with cross-functional teams to deliver scalable and secure data solutions.

A key part of this role will be exposure to AI-assisted delivery practices that are transforming how modern data platforms are built and operated. You will have the opportunity to work with AI-powered development tools and delivery accelerators to support solution design, code generation, testing, documentation, data modelling, and analytics development. You will learn how organisations are combining data engineering, machine learning, and Generative AI capabilities to create intelligent applications, data products, and advanced analytics solutions.

This role provides an excellent opportunity to gain hands‑on experience with leading enterprise data and AI technologies while developing strong technical, problem‑solving, consulting, and stakeholder engagement skills. You will be supported through structured learning, mentoring, certification programs, and exposure to real client engagements, helping you build a successful career at the forefront of Data & AI.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Software Engineering, Data Science, Mathematics, Statistics, Engineering, or a related discipline.
• Strong foundational knowledge of Python programming.
• Proficiency in SQL and relational database concepts.
• Knowledge of or exposure to Databricks and modern data engineering concepts.
• Understanding of data structures, algorithms, and software development best practices.
• Strong analytical, problem‑solving, and critical‑thinking skills.
• Excellent verbal and written communication skills.
• Ability to work collaboratively in a team environment.
• Eagerness to learn new technologies and develop a career in data engineering.
• Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP).
• Understanding of data warehousing and ETL/ELT concepts.
• Knowledge of data modelling and database design principles.
• Familiarity with version control tools such as Git.
• Exposure to Apache Spark, Snowflake, Power BI, or other modern data and analytics tools.
• Experience gained through internships, university projects, hackathons, or personal technical projects.
• Basic understanding of Agile delivery methodologies.
• Knowledge of data governance, data quality, and information security principles.

Additional Information

Why NCS?

This is a place for people who like to get stuck in, bring ideas to life and make things happen. You'll work alongside experienced people who care about what they do, contribute to meaningful work and have the support to keep learning and grow your career. Whether you want to deepen your expertise, explore something new or take your career in a different direction, there's room to make it your own. We value Adventure, Excellence, Integrity, Ownership and Unity – bringing curiosity, collaboration and accountability to the way we work with our clients and each other.

Ready to make extraordinary happen?

We'd love to hear from you.

We celebrate diversity and inclusion

We value different perspectives, experiences and strengths our people bring. We're committed to an inclusive workplace where everyone has the opportunity to contribute, grow and succeed, and to providing equal employment opportunities and reasonable adjustments throughout the recruitment process.

Applicants will need valid Australian work rights and may be required to undergo relevant background, probity and police checks.

Agencies: NCS accepts candidate submissions only from agencies on our preferred supplier panel through the NCS Agency Portal.

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