Senior Data Engineer
- Design, build and maintain scalable data pipelines for high-quality decision-making.
- Collaborate with data analysts and scientists to support analytical use cases.
- Communicate complex technical concepts to non-technical audiences.
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Job Overview
We're looking for an Senior Data Engineer (with the ability to obtain security clearance) to join a federal government digital health agency. You'll own the design, build and maintenance of data pipelines and analytics solutions that enable high-quality decision-making across the health system.
This is a hybrid contract role based in Sydney or Canberra, with flexibility to work remote most of the week (1 day/week onsite). You'll work autonomously under broad direction, take ownership of end-to-end solutions and contribute to platform strategy.
About the Client
Our client is a federal government agency responsible for enabling digital health solutions across Australia. They're building modern, data-driven platforms to improve healthcare delivery and decision-making.
Key Responsibilities
- Design, build and maintain scalable data pipelines to ingest, transform and publish data.
- Develop and optimise data models and curated datasets for reporting and analytics.
- Establish and maintain strong data quality practices, including monitoring, validation and issue resolution.
- Analyse complex data problems, identify root causes and deliver practical solutions.
- Support analytical use cases by preparing and curating high-quality datasets.
- Take ownership of deliverables and manage competing priorities to deliver high-quality outcomes.
- Provide expert advice on complex data engineering issues and contribute to strategic platform direction.
- Collaborate closely with data analysts, data scientists and business stakeholders.
- Communicate complex technical concepts in clear, plain language to non-technical audiences.
- Apply modern data engineering practices, including testing, automation and performance optimisation.
Must-Have Requirements
- Australian citizenship + must be able to obtian security clearnace - anyone with an active NV1 preferred.
- 7+ years as a data engineer, with strong expertise in modern cloud platforms.
- Hands-on experience with Azure Data Factory, Databricks, Python (PySpark), SQL and Power BI.
- Proven experience designing and building scalable data pipelines (medallion/delta lake architecture preferred).
- Experience shipping data solutions in government, healthcare, finance or other regulated environments.
- Strong communication skills - you can explain technical concepts to non-technical audiences.
- Ability to work autonomously, take ownership and manage competing priorities.
Desirable
- Azure data platform certifications (Data Engineer, Solutions Architect).
- Experience with data governance, data quality frameworks or data vault modelling.
- Familiarity with CI/CD and infrastructure-as-code (Terraform, Azure DevOps).
- Background in healthcare or government digital transformation.
The Role
- Location: Sydney or Canberra (hybrid, 1 day/week onsite)
- Duration: 12 months (with 12 month extension option)
- Hours: 37.5 per week, core hours 8:30am - 5:00pm Mon - Fri
- Rate: $140 - 150 per hour (inc. superannuation)
- Start Date: Monday, 12th October 2026
How to Apply
To express your interest, please reach out directly to Lee Bartlett at lee@bluefinresources.com.au with:
- Your CV
- A brief note on why the role interests you
- Your availability and notice period
Referrals Welcome
Know someone who'd be a great fit? We reward successful referrals - pass this on and we'll make sure to acknowledge your recommendation.
Consultant
internalBusinessintelligence@bluefinresources.com.au
Reference number: BH-62875
Profession:Data & AnalyticsData Engineering
Company: Bluefin Resources
Date posted: 14th Sep, 2026
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