Business Intelligence Engineer

📋 Description

• Design, build, and maintain robust data pipelines, data warehouse infrastructure, and data lake
• Establish reliable and scalable data flows across business systems with high data quality
• Optimise data infrastructure for performance, reliability, scalability, and governance.
• Develop and maintain data models and transformation processes for reporting and analytics.
• Build dashboards in Looker or comparable BI platforms.
• Collaborate with stakeholders to define KPIs and translate questions into analytics.

🎯 Requirements

• Strong Python and SQL experience for data transformation and analytics workflows.
• Hands-on AWS data services experience (Redshift, S3, Glue, Athena, Lambda).
• Ability to design, model, transform, and visualize data effectively.
• Experience building dashboards in Looker or similar BI platform.
• Solid understanding of data warehousing, lakes, pipelines, and modern data architecture.
• Ownership across data ingestion, transformation, reporting, and business analysis.

🎁 Benefits

• Fully remote working opportunity.
• Competitive compensation.
• Significant ownership across the end-to-end data and BI stack.
• Work with modern AWS data technologies and BI tooling.
• Direct exposure to leadership and data-driven decision-making.
• Small, fast-moving team with clear ownership.