At a Glance
- Tasks: Design and develop machine learning workflows and data pipelines in a collaborative team.
- Company: Join a federal government client focused on scientific data products.
- Benefits: Competitive hourly rate, inclusive culture, and opportunities for professional growth.
- Other info: We value diversity and encourage applications from all backgrounds.
- Why this job: Make an impact by working with complex geospatial datasets and cutting-edge technologies.
- Qualifications: Experience with Python, cloud environments, and data engineering best practices.
The predicted salary is between 88 - 88 $ per hour.
- EL1 Lead data Engineer
- Duration : 12 months, potential 6 month extension
- Hourly Rate : $78-$88 per hour
- Clearance : Baseline
- Our federal government client is seeking a skilled
Data Engineer to join a collaborative data and technology team supporting the delivery and maintenance of scientific data products and infrastructure capabilities.
Key Responsibilities
- Design, develop, test, validate, optimise, and document machine learning workflows.
- Support the development and maintenance of data ingestion and transformation pipelines.
- Contribute to the development, testing, and maintenance of data platform code bases.
- Provide technical guidance and knowledge transfer to stakeholders and end users.
- Identify and implement improvements to existing algorithms, systems, and processes.
- Develop, maintain, and enhance automated testing and deployment pipelines within cloud environments.
- Support the availability, performance, and reliability of systems and services.
- Embed security practices and tools into systems, software development processes, and CI/CD pipelines.
- Support ongoing data operations and administrative activities as required.
- Contribute to a collaborative, inclusive, and high-performing team culture.
About You
- Demonstrated experience working with large and complex geospatial datasets in cloud-based environments.
- Strong knowledge of data access, management, editing, and governance protocols.
- Experience providing advice and guidance on data processes, systems, tools, and best practices.
- Proven technical leadership within software development environments, including driving development standards, tools, and secure delivery practices.
- Experience with data engineering orchestration, containerisation technologies, and Python development.
- Strong communication skills with the ability to explain complex technical concepts to both technical and non-technical audiences.
- Experience developing and maintaining automated testing and deployment pipelines.
- A focus on security, performance, reliability, and continuous improvement.
Desirable Experience
- Ability to build and maintain positive working relationships across diverse stakeholder groups.
- Experience fostering collaboration and contributing to an inclusive, high-performing team environment.
- Key Technical Skills
- Data engineering and workflow orchestration
- Python programming
- Containerisation technologies
- Cloud-based data platforms
- Data pipeline development and maintenance
- Automated testing and deployment
- CI/CD practices
- Geospatial data management
- System performance and reliability monitoring
- Cybersecurity and secure development practices
- Our Commitment
We are committed to inclusive and culturally safe recruitment practices and welcome applications from people of all backgrounds, experiences, and career stages.
We particularly encourage Aboriginal and Torres Strait Islander peoples to apply.
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Lead Data Engineer in Canberra employer: onpoint 365
As an APS6 Strategic Communications Officer in Canberra, you will thrive in a dynamic and inclusive work environment that values collaboration and innovation. Our commitment to professional development ensures you have ample opportunities for growth while contributing to meaningful projects that impact the community. With a focus on diversity and cultural safety, we encourage applicants from all backgrounds, making this an excellent place to build your career.
