Job description
- Permanent Opportunity
- New Start Up Brand
- Competitive Salary, flexible work and 13% superannuation
We are a new start up brand, ROLLiN’ and we are all about flexible and simple car insurance. A product specifically designed for a youth audience at a price that will make your wallet smile. Backed by one of Australia’s most trusted brands, IAG, and built from the ground up to meet customers’ wants and needs.
We’re a collective of ambitious team members that thrive on knowing how to market a digital start-up business, actively capturing the attention of a younger consumer base, and contributing to building the fastest growing insurance brand in the country.
Think it. Question it. Trial it. Make it. Adapt it. Assess it. Grow it. Learn from it.
As part of a fast-paced team you will help to launch new products using the latest approaches and technologies. We are data-driven and collaborative, take calculated risks, and are obsessed with our customers and continually improving how we work.
As a Data expert in the team, you will have the opportunity to work on some remarkable projects that are critical for daily operations of the business.
In this role you will be responsible for the implementation and improving the existing data platform, data pipeline, and data lake. You also have opportunities to contribute on machine learning initiatives and reporting tasks on existing as well as new data sources to drive value for the business.
You will work closely with the Manager Data Scientist to manage existing data models as well as development of new data models.
Key Responsibilities
- Working with data architect and data scientist to design data engineering and modelling pipelines to do the best practice as scaling up.
- Defining, developing, and improving data integration patterns
- Diagnosing performance issues, investigating root causes, and suggesting best practice solutions
- Engineering data solutions in accordance with DevOps and CI/CD principles
- Reviewing, developing, and maintaining data engineering best practice and tools
- Assisting in prioritisation and delivery outputs
- Responsible for the management and implementation of automated reporting and analytics for the business, helping customer value proposition for ROLLiN’
Skills & Experience
- Working experience in Data Engineering
- Working experience with GCP and/or AWS, Snowflake, ETL tools, DBT, CI/CD
- Working experience with Git, Bamboo, JIRA
- Working experience with Docker and Kubernetes
- Understanding of architecture and high-level design with an ability to present options, recommendations, estimation, and technical planning
- Proven delivery of Customer and Commercial Outcomes
- Ability to communicate complex, quantitative analysis in a clear, precise, and actionable manner
- Knowledge of leading analytics practices, trends, and partners
- Experience in Python and SQL
- Nice to have machine Learning experience
- Degree in Engineering, Computer Science, Mathematics, or other relevant technical field
- Desired knowledge of analytics tools/languages such as R, SAS
- Desired direct insurance experience
- Desired experience working with Intermediated parties, including Retailers
- Desired experience with external datasets including social medial data
- Strong experience on cloud such as AWS or GCP
- Strong understanding of and practical experience engineering Data Pipelines using Python
- An understanding of Code Management tools or deployment tools, as well as working according to CI/CD and DevOps principles
- Advanced Stakeholder management and engagement skills
Ready for anything? Let’s talk.
We promote flexible working arrangements and are entitled to numerous benefits and enjoy working in a diverse and inclusive culture.
