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Reads like an Analytics Engineer role: dbt models and clean tables.
Melbourne, VIC, AU, 3008
Actively hiring, first seen by us 7 days agoAnalyse 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
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
Actively hiringFirst seen by us 7 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 7
Similar jobs usually come down between day 6 and day 47.
From 1,405 similar postings that came down. Coming down is not always a hire.
2 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
Complete your application on careers.insigniafinancial.com.au. The employer’s form will show what is required.
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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.
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.
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:
What you will bring:
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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