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GCP Data Engineer - Data Modelling

Reads like an Analytics Engineer role: dbt models and clean tables.

Pay
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Work setting
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Employment
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What you’ll work on

Full posting
  • Analyse complex source systems to understand structures and data quality

  • Map source data into enterprise and analytical data models

  • Design and refine analytical data structures for reporting and analytics

  • Build and enhance data pipelines that ingest and transform data

  • Maintain workflow orchestration DAGs and document lineage and mappings

From the employer’s posting
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
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
Apply at Insignia Financial

Posting record

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Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 27, 20267 days ago
Recorded sightings
27
Last seen by us
Nov 4, 2026

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How this job compares

Time since we first saw it

Day 7

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From 1,409 similar postings that came down. Coming down is not always a hire.

Insignia Financial is hiring

2 open jobs

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Hiring record

See how this role fits your experience

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  • SQL
  • BigQuery
  • GCP
  • Airflow
Where the posting names them
- 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
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:
- 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

Your next step

Complete your application on careers.insigniafinancial.com.au. The employer’s form will show what is required.

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About the role

We file this job under Analytics Engineer, by the work the posting describes.

Analytics engineers turn raw warehouse data into clean, tested and documented tables that analysts and dashboards can rely on, often with dbt.

Expect strong SQL, data modeling, Git, and a warehouse such as Snowflake, BigQuery or Redshift.

A data engineer gets data into the warehouse; an analytics engineer shapes it once it is there and works closer to the analysts who use it.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

The government has no code for analytics engineers, so these figures are for the closest group, database architects, the same group we use for data engineers.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

  • 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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Melbourne, VIC, AU, 3008

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