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 while maintaining high standards
• Optimise data infrastructure for performance, reliability, scalability, and effective data
• Develop and maintain data models and transformation processes that support reporting, analytics
• Build high-quality, intuitive, and actionable dashboards in Looker or comparable business
• Work closely with business stakeholders to understand operational requirements, define KPIs, and

🎯 Requirements

• Strong professional experience with Python and SQL, with the ability to develop reliable data
• Hands-on experience with AWS data services, particularly Amazon Redshift, S3, Glue, Athena, and
• Proven ability to design, model, transform, and visualise data effectively.
• Experience building and maintaining dashboards in Looker or a comparable BI platform.
• Solid understanding of data warehousing, data lakes, data pipelines, and modern data architecture
• Ability to work across the data stack and take ownership from data ingestion and transformation

🎁 Benefits

• Fully remote working opportunity.
• Competitive compensation.
• Significant ownership across the end-to-end data and business intelligence stack.
• Opportunity to work with modern AWS data technologies and business intelligence tooling.
• Direct exposure to leadership and the ability to influence important business decisions through
• Small, fast-moving, ambitious team with minimal bureaucracy and clear individual ownership.