GCP Data Engineer - Data Modelling

Insignia Financial; City of Melbourne; On-site; AUD 110,000 - 150,000; Full time

Job summary

Insignia Financial is seeking a GCP Data Engineer/Modeller to work on enterprise data assets powering analytics and decision-making. You'll join a state-of-the-art data platform on Google Cloud, leveraging BigQuery and aiming for ML innovations.

The role involves collaborating with stakeholders, mapping source systems to analytic models, building data pipelines, and delivering trusted data assets in a scalable environment.

Job description

• Work on a modern data platform in a leading edge cloud provider
• Career development and learning opportunities in a large organisation
• Be a part of a talented and passionate team

• Work on a modern data platform in a leading edge cloud provider
• Career development and learning opportunities in a large organisation
• Be a part of a talented and passionate team

The opportunity to join our team

Join the Insignia Financials Data Engineering team as a GCP Data Engineer/Modeller where you’ll work on enterprise-wide data assets that power analytics, reporting, and business decision-making. Our state-of-the-art data platform on Google Cloud, with the power of BigQuery and paving the way for future machine learning and AI innovations, you will work across complex source systems, applying strong data modelling expertise to design and deliver high-quality analytical data structures. This is an excellent opportunity for a data professional who enjoys solving complex data challenges and contributing to a modern, scalable data ecosystem.

Key Responsibilities

• Analyse complex source systems to understand data structures, semantics, and data quality characteristics
• Map source system data into enterprise and analytical data models to ensure consistency and usability
• Design, develop, and refine analytical data structures that support reporting, analytics, and integration requirements
• Create and maintain comprehensive documentation for data lineage, mappings, and modelling decisions
• Build and enhance data pipelines that ingest, transform, and integrate data across multiple platforms and consumption layers
• Develop and maintain workflow orchestration processes and DAGs with clear dependencies and transformation logic
• Optimise data pipelines for performance, scalability, reliability, and operational efficiency
• Partner with business stakeholders, data analysts, and technology teams to validate data definitions and modelling assumptions
• Support the delivery of high-quality, trusted data assets that enable informed business decision-making

What You Will Bring

• 5+ years’ experience in data engineering, analytical data modelling, and transformation design
• Strong knowledge of analytical data modelling concepts, including facts, dimensions, grain, and historical data patterns
• Experience with Data Vault modelling and enterprise data modelling frameworks
• Proven ability to analyse complex source systems and translate business requirements into scalable data solutions
• Advanced SQL skills and experience implementing complex transformation logic, ideally within Google BigQuery environments
• Experience working with large and complex datasets in enterprise environments
• Exposure to data orchestration and workflow tools such as Airflow or Composer
• Tertiary qualifications in Computer Science, Information Technology, or equivalent industry experience

People-inspired tech

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.

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

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.

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.