About us

Fortiro is a growing fintech with a highly experienced team, backed by significant investment, and giving you the opportunity to contribute to an award-winning enterprise SaaS platform. Our technology uses emerging technologies and AI to help detect financial crime and enable automation in processes like lending and insurance claim verification. It is trusted by leading banks and financial services businesses in Australia, New Zealand, and globally.

About the role

At Fortiro, we're helping organisations make better decisions, detect fraud faster, and combat financial crime through intelligent data, analytics and automation.

We're looking for a Data Engineer (Fraud Analytics & Intelligence) to join our growing team and help shape the data foundations behind our fraud detection, document intelligence and AI platforms. This isn't a traditional data engineering role focused solely on pipelines and reporting. You'll work with large-scale datasets, data lakes, fraud intelligence data and analytical workflows that directly support how we detect suspicious behaviour, uncover patterns and improve decision-making.

You'll partner closely with engineering, product and data teams to ensure our data is reliable, accessible and ready to power the next generation of Fortiro's fraud and intelligence capabilities.

If you're naturally curious, enjoy solving complex data problems and want your work to have a real-world impact, we'd love to hear from you.

What you’ll be doing

Build and maintain the data foundations that power Fortiro's fraud detection, document intelligence and AI platforms.
Develop Python and SQL workflows to ingest, transform and validate large-scale datasets.
Manage and optimise data within our AWS data lake environment, including S3, Glue and Athena.
Improve data quality, monitoring and reliability across critical data pipelines.
Analyse complex datasets to uncover patterns, anomalies and actionable insights.
Prepare high-quality datasets that support analytics, machine learning and fraud intelligence initiatives.
Collaborate with engineers, product managers and data specialists to deliver scalable, trusted data solutions.

What you'll bring to the role

Strong Python fundamentals, including functions, data structures, file handling and common data libraries.
Hands-on experience with pandas or similar tools for cleaning, transforming and analysing data
Strong SQL skills and experience working with large, complex datasets
Experience building or supporting data engineering workflows and ETL/ELT processes
Strong understanding of data quality, validation and troubleshooting
Ability to work with sensitive customer, financial or operational datasets
Excellent analytical and problem-solving skills
Strong documentation and communication skills

Nice to Have

AWS and cloud-based data platforms, including data lakes and large-scale analytical datasets
Fraud, risk, fintech, financial services or other data-intensive SaaS environments
Graph databases, anomaly detection or pattern-based analytics
Machine learning and AI data workflows
Modern engineering practices such as CI/CD, infrastructure-as-code and observability

Why join Fortiro?

Be yourself: We value individuality and encourage you to work in ways that make you most productive

Make an impact: Help enterprise customers achieve success with world-class fraud detection solutions

Work on cutting-edge solutions: Join a team building innovative products that transform financial crime prevention

Inclusive culture: Open, diverse, and fun workplace with flexible remote and in-person options

Grow with us: We value curiosity and a growth mindset. You’ll have opportunities to learn, take on new challenges, and develop your skills as the business evolves

No recruitment agencies please. We have this covered and will reach out if we need support. Thank you.

Data Engineer (Fraud Analytics & Intelligence)

Find the patterns. Uncover the anomalies. Power smarter fraud detection.