Data Platform Engineer

• Work with Modern Cloud & Data Technologies
• Career development and learning opportunities focussed on GCP
• Be a part of a talented and passionate team

We’re seeking a Data Platform Engineer on our journey to build modern, scalable data platforms that empower analytics, insights and better business outcomes across the enterprise. Within our Data Engineering team, you will play a key role in supporting and enhancing our cloud-based data ecosystem, ensuring trusted and high-quality data is available for business and analytical consumption. Working alongside experienced engineers, you'll contribute to data pipeline development, platform operations, data modelling and continuous improvement initiatives. This is an excellent opportunity for a hands-on engineer who enjoys solving complex data challenges while working with modern technologies across Google Cloud Platform and DevOps toolsets.

Key Responsibilities

• Support the operation, maintenance and optimisation of modern data platforms, data pipelines, data lakes and data warehouses.
• Analyse source systems and contribute to data mapping, modelling and transformation activities that ensure high-quality enterprise data assets.
• Develop and maintain batch data pipelines and workflows, implementing business rules and transformation logic in line with engineering standards.
• Contribute to cloud infrastructure, CI/CD and Infrastructure-as-Code initiatives using technologies such as GCP, Docker and Terraform.
• Collaborate with business, analytics and technology stakeholders to understand requirements, clarify data definitions and support data-driven outcomes.
• Support governance, security, incident management and continuous improvement initiatives while maintaining accurate documentation and data lineage.

• 3+ years' experience in Data Engineering, Software Engineering or a related technical discipline, supported by a tertiary qualification or equivalent practical experience.
• Strong experience with Google Cloud Platform services such as BigQuery, Dataflow, Pub/Sub and Cloud Composer.
• Proficiency in Python and/or Java, with experience building scalable, production-grade data solutions.
• Knowledge of data modelling, data warehousing concepts and large-scale batch or streaming data processing.
• Experience with DevOps practices including CI/CD pipelines, Terraform (or similar Infrastructure-as-Code tools) and automated testing.
• Strong problem-solving, communication and stakeholder engagement skills, combined with a collaborative mindset and passion for continuous improvement.

Deep expertise combined with creativity can take on the trickiest of problems. Join our team of brilliant minds and mentors as we explore our way to innovation and apply technology in more human ways than ever.

To Apply

Read more about why you should join our team https://www.insigniafinancial.com.au/careers/working-with-us/why-join-our-team.

Applicants will be required to provide evidence of their eligibility to work in Australia, and at a minimum be required to undertake police and basic credit checks as a condition of employment.

Please note that applications from agencies will not be considered at this time.

We acknowledge and celebrate the richness that individual differences bring to our team. If you need assistance or an adjustment during the application process, please reach out and let us know.