GCP Data Engineer - Data Modelling
Insignia Financial Sydney, New South Wales, Australia
Financial Services · 1,001-5,000 employees
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About the role
Analyze complex source systems to map data into enterprise models and design high-quality analytical data structures. Build and optimize data pipelines while partnering with stakeholders to ensure reliable data assets for business decision-making.
What they look for
Requirements
Requires 5+ years of experience in data engineering and analytical data modelling with advanced SQL skills. Candidates must have expertise in Google Cloud Platform, BigQuery, and enterprise data modelling frameworks.
Benefits
Full 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
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.
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.
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