Your Responsibilities:

• Write feeds to collect data from external systems
• Write transforms to process data into more information-rich data models
• Ensure data assets are automatically monitored for performance, reliability, and availability
• Create one-off or recurring data sets for statistical or advanced analysis
• Maintenance tasks to handle changing environment (e.g. address upstream schema changes by modifying transform)
• Document processes and data structures so that they are maintainable and usable by others
• Create visualisations and interactive reports
• Perform basic security and privacy management
• Participate in the team roster to support business users using our data and platform
• Work with other teams in scrums, ideation sessions, and various other formats to make the value of Data realisable across different parts of the business

Your Experience:

• 2-5+ years experience in data engineering or analytics engineering
• Extensive experience and expertise in SQL and Python
• Experience with BI tools (Power BI, Tableau), preferably Looker
• Experience modelling data and creating transformation pipelines with Dataform or DBT
• Worked with cloud-based data warehouses (Redshift, Big Query, Snowflake, Databricks, etc)
• Demonstrated experience in collaborating and supporting non-technical users
• Autonomous, reliable, and great communication skills
• Comfortable working with remote and distributed teams