Business Intelligence Engineer

📋 Description

• Design, build, and maintain data pipelines, data warehouse, and data lake infra using AWS.
• Establish reliable, scalable data flows with high data quality and availability.
• Optimize data infrastructure for performance, reliability, scalability, and governance.
• Develop data models and transformations supporting reporting, analytics, BI use cases.
• Build dashboards in Looker or similar BI tools.
• Collaborate with stakeholders to define KPIs and translate questions into analytical solutions.

🎯 Requirements

• Strong experience with Python and SQL for data transformations and analytics.
• Hands-on with AWS data services: Redshift, S3, Glue, Athena, Lambda.
• Proven ability to design, model, transform, and visualize data.
• Experience building dashboards in Looker or comparable BI platform.
• Solid understanding of data warehousing, data lakes, pipelines, modern data architecture.
• Ability to work across the data stack from ingestion to reporting and analysis.

🎁 Benefits

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