Data Engineer

About the Role

2025 is an exciting year to join the Drive team, a business wholly owned by Australia's largest media organisation, Nine Entertainment with extensive reach across all media channels. The Data Engineer role sits at the heart of our data operations, designing systems that scale, protect data quality, and support teams with data, reporting and insights. This is a hands-on role where you will play both architect and operator, designing systems that can handle diverse data types while ensuring reliability and performance at scale. You will work collaboratively with Technology squads, ETL Engineers, and the Head of Infrastructure.

Day to day you will:

• Create flexible, scalable, and efficient data models that cater to diverse analytical and processing requirements.
• Write efficient queries, structure datasets for analytics, and troubleshoot performance issues in production environments.
• Design systems that scale and adapt to schema drift, late-arriving data, or inconsistent input format.
• Create self-service capabilities for business users while maintaining enterprise-grade security and governance standards.
• Establish standards and automated processes to ensure data maintains accuracy, completeness, and consistency throughout its lifecycle.
• Implement multi-layered security measures including encryption, access controls, and continuous monitoring to protect sensitive data.
• Apply infrastructure as code principles and tools like Terraform to manage cloud resources programmatically, ensuring reproducible deployments and consistent environments.
• Apply window functions, common table expressions, and query optimization techniques to improve performance.
• Design storage and compute strategies that balance cost, performance, and compliance, integrating cloud-native data solutions with legacy systems.

Qualifications

What you'll bring:

• Bachelor's degree in computer science, information technology, or a related field.
• 5+ years of experience in data engineering, with a strong focus on data modelling, aggregation, and business intelligence.
• Proven ability to design and build efficient data models within a data warehouse environment.
• Strong understanding of data warehousing principles and dimensional modelling.
• Expert-level SQL skills for complex data manipulation, querying, and aggregation.
• Excellent communication skills to translate business needs into technical data solutions.
• A proactive, detail-oriented mindset with a focus on data accuracy and integrity.

Nice-to-Haves:

• Experience with next-generation architectures such as Vector Databases and RAG will be a plus.
• Expertise in building and maintaining reports and dashboards with Tableau.
• Experience with data loading, transformation, and performance optimization in a modern environment such as Snowflake.

How we work

At Nine, our flexible work options vary by role and team. Depending on the position, this may include flexible hours, hybrid work, or part-time arrangements. We welcome discussing your flexibility needs during the hiring process - just ask the Talent Acquisition team.

Our Commitment to Diversity and Inclusion:

We're committed to a safe, respectful and inclusive Nine. From day one, you'll be encouraged to bring your whole self to work and will be supported to perform at your best.

We encourage applications from Aboriginal and Torres Strait Islander people, people with disabilities, and of all ages, genders, nationalities, backgrounds and cultures as we recognise the importance and value of diverse perspectives. Should you require any adjustments to the recruitment process, please advise us when you apply.

Work rights: Please note to apply for this role you must already have the right to lawfully work and live in Australia.