Business Intelligence Engineer - London

Salary: £60,000 - 110,000 per year

Requirements:

• Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL, or similar technologies
• Experience with data visualization using Tableau, QuickSight, or similar tools
• Experience with one or more industry analytics visualization tools such as Excel, Tableau, QuickSight, MicroStrategy, or Power BI
• Experience with statistical methods such as t-test and chi-squared
• Experience with a scripting language such as Python, Java, or R
• Experience with SQL
• Experience in the data/BI space
• Knowledge of data modeling and data pipeline design
• Experience with statistical analysis and correlation analysis
• Masters degree or advanced technical degree is preferred

Responsibilities:

• Work with large datasets and distributed computing technologies
• Analyze large volumes of data in highly complex technical contexts
• Design data models, ETL solutions, and business intelligence outputs
• Work hands-on with columnar databases such as Redshift and related AWS technologies
• Partner with customers to identify strategic opportunities in decision intelligence
• Use AI-assisted development tools such as Kiro and Claude to accelerate pipeline development, data analysis, and automation
• Build AI skills and agents within the Amazon internal ecosystem, including AIM and MCP integrations
• Surface data insights through AI-powered experiences such as Amazon Q and Quick AI features
• Explore agentic architectures, including AgentCore and Strands Agents, for complex data workflows
• Extend AI tools by creating reusable components and proactively applying AI to business problems
• Work as a self-starter in a fast-paced team that continuously learns and evolves

Technologies:

• AI
• AWS
• Redshift
• Business Intelligence
• ETL
• Excel
• Java
• MCP
• NoSQL
• Oracle
• Power BI
• Python
• SQL
• Tableau
• Cloud
• AI Agents
• Support
• Security

More:

We operate heavily within the agentic and generative AI space, combining traditional BI expertise with a builder mindset toward Amazons AI ecosystem. We value curiosity, innovation, and a passion for data and analytics. Our team works in a fast-paced, collaborative environment where we think big, pay careful attention to detail, and continuously learn and evolve. We are an equal opportunities employer and value diversity, inclusion, and privacy in our hiring process.

last updated 36 week of 2026