Analytics Engineer (mat contract)
At a glance
Mid-level Data Analysis & BI role at Ray White. Bris · contract.
Pay not stated Data Analysis & BI salary
dataroles summary, based on the employer's posting.
What you'll do
- Build reusable, efficient data models from complex datasets for analytics, BI, self-service and other data projects
- Create logical and physical models that protect data quality and limit duplicate records
- Develop and maintain pipelines that ingest, transform and store data at scale
- Work with business stakeholders and Customer Insights Analysts to shape enterprise data views for decisions
- Check data meaning and accuracy, improve quality monitoring and reporting, and apply governance standards
What you bring
- Hands-on experience with GCP, which is essential for this role
- Strong SQL and dbt skills, including building, monitoring and troubleshooting dbt pipelines
- Background in cloud data engineering, with knowledge of warehouses, ETL and data integration
- Ability to gather business needs from stakeholders and turn them into practical data solutions
Who this fits
This mid-level contract role covers maternity leave for six months and suits an analytics engineer who can build models and pipelines while working with business teams. You’ll work from Brisbane, Melbourne or Sydney, with Brisbane preferred, and attend the office two days each week.
From the employer
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.
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