Business Intelligence Engineer

📋 Description

• Design, build, and maintain data pipelines, data warehouse, and data lake on AWS.
• Create scalable data flows with high data quality and governance.
• Develop data models and transformations to enable reporting and BI.
• Build dashboards in Looker or similar BI platforms.
• Collaborate with stakeholders to define KPIs and translate questions into analytics.
• Take end-to-end ownership of BI initiatives from pipelines to insights.

🎯 Requirements

• Strong Python and SQL experience for data transformation and analytics.
• Hands-on AWS data services: Redshift, S3, Glue, Athena, Lambda.
• Experience designing, modeling, transforming, and visualising data.
• Experience building dashboards in Looker or comparable BI platform.
• Deep understanding of data warehousing, data lakes, and modern data architecture.
• Ability to own data ingestion through reporting and business analysis.

🎁 Benefits

• Fully remote working opportunity.
• Competitive compensation.
• Significant ownership across end-to-end data and BI stack.
• Opportunity to work with modern AWS data technologies and BI tooling.
• Direct exposure to leadership and influence on business decisions.
• Small, fast-moving, ambitious team with clear ownership.