About the Role
We're looking for a Senior Analytics Engineer to take ownership of our analytics engineering capability and help shape the future of our data platform. This is a high-impact role for someone who enjoys turning complex data into trusted, business-ready assets. You'll work across teams and regions, partnering with stakeholders to design robust data models, deliver self-service analytics, and establish best practices that enable the business to confidently use data every day.
Responsibilities
- Design, build and maintain scalable data models that transform raw and staged data into trusted, analytics-ready datasets.
- Create clean, reliable and well-documented data assets that become the foundation for reporting, analytics and decision-making.
- Work closely with teams across Product, Customer, Finance, Marketing, Operations and Leadership to understand business challenges and translate them into meaningful data solutions.
- Challenge assumptions, shape requirements, and ensure business logic is applied consistently across the organisation.
- Build and support semantic layers, dashboards and reporting solutions that empower teams to answer their own questions.
- Help establish trusted metrics, improve data literacy, and create a culture where people can confidently use data to make decisions.
- Define analytics engineering standards and best practices across modelling, testing, documentation and governance.
- Mentor colleagues, review work, and help grow analytics engineering capability across Eftsure.
- Stay current with emerging tools, technologies and industry practices, bringing new ideas and approaches into our platform.
- Evaluate opportunities, prototype solutions and contribute to the evolution of our data roadmap.
Requirements
- 5+ years' experience in Analytics Engineering, Data Analytics, Data Engineering or a similar role
- Strong hands-on experience with dbt in production environments
- Advanced SQL skills, including complex transformations, optimisation and data modelling
- Deep understanding of dimensional modelling, medallion architectures and semantic layer design
- Experience working with modern cloud data platforms such as Snowflake or ClickHouse
- Experience building business-facing analytics and reporting solutions using tools such as Metabase, Power BI or similar BI platforms
- Working proficiency in Python for data-related development
- Experience with Git-based workflows and CI/CD practices
- Comfortable working in UNIX/Linux environments
- Experience leveraging AI-assisted development tools to improve productivity and quality
- Experience with AWS or other cloud-native data services
- Familiarity with orchestration tools such as Apache Airflow
Skills
- Analytics Engineering
- Data Analytics
- Data Engineering
- dbt
- SQL
- Dimensional Modelling
- Medallion Architectures
- Semantic Layer Design
- Snowflake
- ClickHouse
- Metabase
- Power BI
- Python
- Git
- CI/CD
- UNIX/Linux
- AI-assisted development tools
- AWS
- Apache Airflow
Location
- Australia
- North America
- Europe
Work Type
- Full-time
Experience Level
- Senior
About the Company
- At Eftsure, we're on a mission to protect businesses from payment fraud and cyber risk.
- As we continue to scale globally, data plays a critical role in helping teams make better decisions, move faster, and create exceptional customer experiences.
- At Eftsure, you'll join a collaborative and ambitious team that's building solutions to solve real-world problems for businesses globally.
