Data Engineer

Emanate Technology; Adelaide; Presencial; AUD 110.000 - 150.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary package

Career growth opportunities

Ongoing training and development

Flexible working arrangements

Descripción de la vacante

Emanate Technology in Adelaide is seeking a Data Engineer to design, build and maintain scalable data platforms and pipelines in secure, highly regulated environments. You will work with software engineers, systems engineers and stakeholders to deliver robust data solutions for analytics and business-critical applications, including ingestion, transformation and delivery across environments.

The role requires NV1 clearance and Australian citizenship, with a culture that values collaboration,

Formación

• Experience developing and supporting data engineering solutions in production environments.
• Strong Python development skills to build maintainable, high-quality software.
• Experience developing and maintaining ETL, ELT or data integration pipelines.
• Strong SQL skills and experience with relational databases.
• Understanding of data modelling, data architecture and data management principles.
• Experience with distributed data processing technologies (e.g., PySpark).
• Knowledge of data quality, validation and cleansing techniques.
• Experience in Agile or modern software development environments.
• Exposure to CI/CD pipelines and DevOps practices.
• Exposure to cloud-based data platforms and services is highly regarded.

Responsabilidades

• Design, build and support scalable data platforms and pipelines for analytics, software applications and business-critical capabilities.
• Develop robust data solutions covering data ingestion, transformation, storage and delivery across diverse environments.
• Collaborate with software engineers, systems engineers, architects and stakeholders to deliver high-quality data capabilities and improve platform performance.

Conocimientos

Python development

ETL/ELT pipelines

SQL

Data modelling

PySpark

Docker

Kubernetes

Cloud platforms

CI/CD

DevOps

Data quality

Communication

Herramientas

Docker

Kubernetes

Descripción del empleo

Data Engineer | NV1 Clearance Required | Adelaide, SA

Emanate Technology is partnering with an innovative Australian defence technology organisation delivering advanced data, software and engineering solutions within secure and highly regulated environments. With a strong focus on innovation, collaboration and technical excellence, the business is continuing to invest in its data engineering capability to support the delivery of complex programs and next-generation technology solutions.

Working alongside experienced engineers, architects and technical specialists, you'll have the opportunity to contribute to meaningful projects, leverage modern technologies and further develop your technical expertise within a high-performing team environment.

The Role:

Our client is seeking a Data Engineer to design, build and support scalable data platforms and pipelines that underpin analytics, software applications and business-critical capabilities.

Working within multidisciplinary engineering teams, you will be responsible for developing robust data solutions covering data ingestion, transformation, storage and delivery across a variety of environments. You'll work closely with software engineers, systems engineers, architects and stakeholders to deliver high-quality data capabilities while contributing to platform performance, reliability and continuous improvement initiatives.

This position offers exposure to modern data engineering practices, distributed processing technologies, cloud platforms and containerised environments while supporting the delivery of complex technical solutions.

Skills & Experience:

• Experience developing and supporting data engineering solutions in production environments.
• Strong Python development skills with the ability to build maintainable, high-quality software.
• Experience developing and maintaining ETL, ELT or data integration pipelines.
• Strong SQL skills and experience working with relational databases.
• Understanding of data modelling, data architecture and data management principles.
• Experience with distributed data processing technologies such as PySpark.
• Knowledge of data quality, validation and cleansing techniques.
• Experience working within Agile or modern software development environments.
• Exposure to CI/CD pipelines and DevOps practices.
• Experience with containerisation technologies such as Docker and Kubernetes is desirable.
• Exposure to cloud-based data platforms and services is highly regarded.
• Strong analytical, troubleshooting and problem-solving skills.
• Excellent communication and stakeholder engagement skills.
• Australian Citizenship and the ability to obtain and maintain a Government Security Clearance.

Culture:

• Collaborative and supportive engineering environment.
• Strong focus on continuous learning and professional development.
• Opportunity to work alongside highly skilled technical professionals.
• Modern technology stack and engineering best practices.
• Flexible and adaptable workplace culture.
• Values innovation, teamwork and continuous improvement.
• Meaningful projects supporting important customer outcomes.

Key Benefits:

• Work on complex and technically challenging projects.
• Exposure to modern data engineering technologies and platforms.
• Career growth opportunities within a growing technology organisation.
• Professional development and ongoing training support.
• Opportunity to contribute to innovative solutions and emerging technologies.
• Flexible working arrangements.
• Competitive salary package.
• Long-term career stability within a high-performing engineering team.

We are an inclusive employer committed to fostering a diverse and accessible workplace. We encourage applications from Aboriginal and Torres Strait Islander peoples, people with disabilities, LGBTQIA+ individuals, people of all ages, and those from culturally and linguistically diverse backgrounds.