Executive reporting: Turn data into sharp, actionable insights for senior leadership.
Prioritization: Identify where investment, resources and effort deliver the most value.
Performance governance: Drive KPIs, portfolio visibility and accountability across the business.
Job Overview We're looking for an NV1 Senior Data Engineer 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 NV1 security clearance (or eligible to obtain) + Australian citizenship.
7+ years as a data engineer, with solid 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: $********* per hour (inc. superannuation) Start Date: Monday, 12th October **** How to Apply To express your interest, please reach out directly to Lee Bartlett at ****** 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 ****** Reference number: BH-***** Profession:Data AnalyticsData Engineering Company: Bluefin Resources Date posted: 11th Sep, ****

📌 Senior Data Engineer - Nv1 (New South Wales)
🏢 Bluefin Resources
📍 New South Wales