Data Acquisition Data Engineer | NV1+

Paxus - Technology + Digital Talent

City of Melbourne

On-site

AUD 100,000 - 150,000

Full time

5 days ago
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Job summary

Paxus – Technology + Digital Talent in Melbourne is seeking an experienced Data Acquisition Data Engineer to support a large federal government data environment. You will design and run data ingestion pipelines moving data from enterprise sources into a central platform using Azure Data Factory, Apache NiFi and Microsoft SQL Server.

This is a hands-on, on-site role focused on data movement, integration and ingestion across enterprise systems, with a requirement for NV1 clearance or higher and

Qualifications

  • Minimum 1 year of Azure Data Factory experience.
  • Minimum 1 year of Apache NiFi experience.
  • Experience with Microsoft SQL Server.
  • Current NV1 security clearance or higher.
  • Ability to work on-site 3–5 days per week.

Responsibilities

  • Build and maintain data acquisition and ingestion pipelines.
  • Move data from enterprise source systems into a central data platform.
  • Develop data workflows using Azure Data Factory and Apache NiFi.
  • Work with Microsoft SQL Server and other enterprise data sources.
  • Troubleshoot pipeline, data movement and connectivity issues.
  • Support testing, deployment and ongoing operation of data ingestion solutions.
  • Collaborate with data engineering, platform and technical teams.
  • Contribute to reliable, repeatable and maintainable data engineering practices.

Skills

Data pipeline development
Data integration
Cloud data platforms

Tools

Azure Data Factory
Apache NiFi
Microsoft SQL Server
NV1 clearance

Job description

Data Acquisition Data Engineer | NV1+

Melbourne preferred | On-site 3–5 days per week | NV1 minimum

We are seeking an experienced Data Acquisition Data Engineer to support a large and complex Federal Government data environment.

This role is focused on the acquisition and movement of data from enterprise source systems into a central data platform. You’ll be building and supporting data ingestion pipelines using Azure Data Factory, Apache NiFi and Microsoft SQL Server within a secure environment.

This is a hands‑on engineering role suited to someone with strong experience in data movement, integration and ingestion who is comfortable working across enterprise source systems and modern cloud and data platforms.

What you’ll be doing
  • Build and maintain data acquisition and ingestion pipelines.
  • Move data from enterprise source systems into a central data platform.
  • Develop data workflows using Azure Data Factory and Apache NiFi.
  • Work with Microsoft SQL Server and other enterprise data sources.
  • Troubleshoot pipeline, data movement and connectivity issues.
  • Support testing, deployment and ongoing operation of data ingestion solutions.
  • Work closely with data engineering, platform and technical teams.
  • Contribute to reliable, repeatable and maintainable data engineering practices.
What you’ll need
Mandatory:
  • At least 1 year of Azure Data Factory experience.
  • At least 1 year of Apache NiFi experience.
  • Experience with Microsoft SQL Server.
  • Current NV1 security clearance or higher.
  • Ability to work on-site 3–5 days per week.
Highly regarded:
  • NV2 clearance.
  • Melbourne-based.
  • Azure Cloud experience.
  • Azure DevOps experience.
  • Apache Iceberg experience.
  • Exposure to Cloudera.
Why consider this opportunity?

You’ll be working within a significant enterprise data environment, helping establish and support the data acquisition layer that enables downstream processing, integration, analytics and data product development.

This is a strong opportunity for a hands‑on Data Engineer wanting to work with modern enterprise data technologies in a large-scale, secure environment.

Paxus values diversity and welcomes applications from Indigenous Australians, people from diverse cultural and linguistic backgrounds and people living with a disability. If you require an adjustment to the recruitment process, including the application form in an alternate format, please contact me on the above contact details.

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