About the role
This is a 6 month contract position for maternity cover as an Analytics Engineer in the Customer Insights and Reporting team.
You will be responsible for leveraging large and complex data sets to build robust, reusable and optimised data models for use across the organisation.
You will have broad technical skills of developing strategic models to support a wide range of use cases for analytics, business intelligence, self-service and other data driven projects.
This is a hybrid role (2 days in the office per week) that can be done from Brisbane (preferred), Melbourne or Sydney.
What you'll do:
- Create standarised logical and physical data models, using best practices, to ensure high data quality and reduced data redundancy.
- Design, develop and maintain scalable data pipelines for ingesting, transforming and storing data.
- Collaborate with various stakeholders to understand data requirements and implement solutions.
- Work closely with the business and Customer Insights Analysts to surface enriched enterprise level views enabling data driven decisions.
- Provide support to data quality and data validation through analysis of data and assisting in understanding the meaning of data.
- Help drive continuous improvements to data quality procedures and a consistent approach to how data quality is measured, monitored and reported.
- Ensure data governance standards are incorporated at the implementation level.
What we're looking for:
- Proven experience with Cloud based technologies and databases - GCP is essential.
- Strong experience in SQL and dbt is essential.
- Hands on experience in designing and implementing dbt pipelines, setting up monitoring and troubleshooting issues
- Confidence in collecting, collating and interpreting business requirements in order to produce quality outcomes.
- Experience working with product managers, platform owners and different stakeholders to gather data requirements and provide solutions.
- Experience in data engineering with in-depth knowledge of data warehousing, ETL processes and data integration techniques in cloud environments.
- Experience with ThoughtSpot is advantageous but not essential.
Skills Required
- Proven experience with cloud-based technologies and databases, with GCP experience
- Strong experience with SQL and dbt
- Hands-on experience designing and implementing dbt pipelines, including monitoring and troubleshooting
- Ability to collect, collate, and interpret business requirements
- Experience working with product managers, platform owners, and diverse stakeholders
- Experience in data engineering, including data warehousing, ETL processes, and cloud data integration
- Experience with ThoughtSpot
What We Do
Ray White is a market-leading real estate agency group and property investment business, operating throughout Australia, New Zealand, Indonesia and Hong Kong. We are a fourth-generation family-owned and led business, founded in 1902 in Crows Nest, Queensland. Our original office - the Shed - in Crows Nest still stands today. There are over 12,000 members of the Ray White family. Our members span all areas of real estate agency activities, including residential, commercial and rural property sales and management. Our specialist businesses focus on specific market sectors such as valuations, marine, and insurance. We are a partner in HTL Property, delivering specialised integrated services for the hotel industry and its investors throughout Australia. RW Capital invests on behalf of the White Family, and institutional and private investors, into private credit, real estate private equity and private equity. We seek to provide all of our members with a family experience that supports leadership, embraces curiosity, and is a springboard for them to reach heights that they might not have thought achievable. We recorded our strongest year of growth and transaction activity in the financial year ending 30 June 2024. Our market share of residential property sales in Australia and New Zealand is at a record high of 14.4%, more than twice the second-largest group.
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