At a Glance
- Tasks: Design and enhance secure, scalable data platforms for a high-profile Federal Government program.
- Company: Join a dynamic team focused on enterprise data and analytics capabilities.
- Benefits: 12-month contract with extension options, competitive salary, and inclusive workplace.
- Other info: Diversity and inclusion are valued; First Nations people encouraged to apply.
- Why this job: Make a real impact in data-driven decision-making within a complex environment.
- Qualifications: Experience in data engineering, SQL, Azure, and analytics tools required.
The predicted salary is between 117000 - 143000 $ per year.
- Lead Data Systems Data Engineer
- Canberra ACT
- NV1 required
- 12-Month Contract + 2*12 months Extension Options
- Are you an experienced
Data Engineer with a passion for building secure, scalable, and high-performing enterprise data platforms? We are seeking a
Lead Data Systems Data Engineer to join a high-profile Federal Government program focused on enhancing enterprise data and analytics capabilities.
You will play a key role in designing, supporting, and evolving critical data platforms that underpin data-driven decision-making across a complex and highly regulated environment
- Key Responsibilitie
- Design, implement and improve secure and supportable data platforms and analytical environments.
- Develop and maintain data pipelines, data models, integrations and database solutions.
- Administer and support analytical platforms and tools, including SQL Server, SAS, R, Python and Power BI.
- Deploy and support data-related services in Microsoft Azure, following approved architecture, security and change processes.
- Support modelling and development environments using relevant virtualisation, operating system and container technologies.
- Develop scripts and automation to improve deployment, monitoring, testing and operational support.
- Produce clear technical designs, procedures, runbooks and support guidance.
- Provide technical advice, knowledge transfer and stakeholder support.
- Key skills and requirments
- Demonstrated experience designing, implementing and supporting secure and reliable enterprise data platforms or analytical environments.
- Demonstrated data engineering experience across SQL, data modelling, integration, pipelines and performance improvement including Practical experience deploying or supporting data-related services in Microsoft Azure
- Demonstrated experience supporting analytics technologies such as SAS, R, Python, SQL Server or Power BI.
- Demonstrated experience with scripting, automation and modern development or platform tooling.
- Demonstrated experience supporting modelling, research or statistical computing environments in government or a large enterprise, specifically specialist platforms such as SAS, RStudio or Posit, G-Cubed or PLEXOS.
- Relevant qualifications or certifications in data engineering, Microsoft Azure, databases, Dev Ops or related technologies.
- Demonstrated Experience working in an AI-enabled and integrated workplace.
Please note due to the requirments of this role you must hold an active NV1 clearence to be considered
At Clicks we embrace diversity, inclusion and equal opportunity. First Nations people are encouraged to apply.
We provide reasonable adjustments, including alternate formats to the recruitment process for individuals with a disability.
If you require an adjustment to be made during the recruitment process, please call 1300 254 *** or email***********@clicks. com. au
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Lead Data Systems Data Engineer in Canberra employer: Clicks IT Recruitment
Clicks IT Recruitment is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Melbourne. With a strong focus on employee growth, we provide ample opportunities for professional development and hands-on experience in transformative projects within the utilities sector. Our commitment to work-life balance and a supportive team environment makes us an attractive choice for those seeking meaningful and rewarding employment.
