Data Engineer Engineering · North Sydney · Hybrid
EFTsure
Data Engineer
Build and scale Eftsure’s data platform, turning raw data into trusted insights. Join a global team, own end-to-end pipelines, and shape smarter decisions from our North Sydney office.
About Eftsure
At Eftsure, we’re on a mission to eliminate payment fraud and protect businesses globally. Our platform sits at the intersection of fintech, security, and data - and as we scale, data plays a critical role in everything we do.
We’re looking for a Data Engineer to join our growing international data team (Australia + France). This is a high-impact role where you’ll help build and scale our data platform, turning raw data into trusted, actionable insights across the business.
About the role
This role sits at the intersection of data engineering and analytics, giving you exposure across the full data stack - from pipelines and infrastructure through to business-facing insights.
You’ll focus primarily on strengthening our data engineering foundations, while also contributing to analytics and BI when needed - helping teams across Eftsure confidently use data to make decisions.
What you’ll be doing
Data Engineering - Primary Focus
Design, build and maintain reliable, scalable data pipelines
Improve and evolve our modern data stack (Snowflake, dbt, Fivetran)
Monitor and troubleshoot data systems to ensure high performance and quality
Implement data quality checks, monitoring, and root cause analysis
Support security, governance, and compliance best practices (e.g. GDPR)
Collaborate with engineering teams to design scalable data solutions
Analytics Engineering - Secondary, When Needed
Build and maintain clean, well-documented datasets in our warehouse
Develop and support dashboards and reporting for stakeholders
Translate business requirements into scalable data models and metrics
Enable self-service analytics across the organisation
What you’ll bring
Core experience
2–5 years in data engineering, analytics engineering, or similar
Strong SQL and working proficiency in Python
Experience with modern data tools (e.g. Snowflake, dbt, Fivetran)
Familiarity with AWS and cloud-based data environments
Experience building and maintaining ETL/ELT pipelines
Solid understanding of data modelling, monitoring, and reliability concepts
Comfortable using Git and CI/CD workflows
Comfortable working in UNIX‑based environments and performing common command‑line (CLI) tasks
Nice to have
Experience with BI tools (Power BI, Metabase, etc.)
Exposure to Terraform or Kubernetes
Experience with relational databases (Postgres, SQL Server)
Familiarity with APIs and data integration patterns
How you work
Strong problem-solving mindset and attention to detail
Clear communicator who can translate technical concepts for stakeholders
Collaborative, but comfortable working autonomously
Curious and proactive, with a continuous improvement mindset
Why join Eftsure?
Work across the full data lifecycle with real ownership
Join a high-performing, international team
Be part of a fast-growing SaaS company solving real-world problems
Hybrid working model (3 days in our North Sydney office)
Plenty of opportunities to learn, build, and shape the future of our data platform
- Department
- Engineering
- Locations
- North Sydney
- Remote status
- Hybrid