Senior Data Engineer

Bluefin Resources; Sydney, Canberra; Hybrid; AUD 193,000 - 207,000; Full time

Job summary

Bluefin Resources seeks a Senior Data Engineer with security clearance eligibility to own design, build and maintenance of data pipelines and analytics for a federal health program. You will work across data platforms, collaborating with analysts and scientists to enable high-quality decision-making.

This hybrid role is based in Sydney or Canberra, with one day per week onsite, offering autonomy and end-to-end delivery ownership within a modern data platform team.

Qualifications

• 7+ years data engineering experience in modern cloud environments.
• Strong ability to design and implement scalable data pipelines.
• Excellent communication with non-technical stakeholders.

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 high data quality practices including monitoring and issue resolution.
• Collaborate with data analysts, data scientists and business stakeholders.

Skills

7+ years experience

Cloud platforms

Autonomous work

Stakeholder communication

Tools

Azure Data Factory

Databricks

Python (PySpark)

SQL

Power BI

Job description

• Turn consumer, brand and customer data into insights that influence real business decisions.
• Structured L&D, senior mentoring and genuine autonomy in a high-trust, collaborative team.
• Work across brand, product and customer experience with exposure to market research, analytics and marketing science.

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