Business Intelligence Engineer; AWS​/AI Exposure

OVERVIEW

We’re looking for an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives.

This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools.

This is an organisation investing heavily in its data platform and future AI capabilities, where you’ll play a key role in shaping both current BI delivery and next‑generation data solutions.

• ~50% Business Intelligence / Data Engineering delivery & support
• ~50% New capability development, including data platform and AI initiatives

• Design, build and optimise data pipelines and data platform components within AWS
• Support and enhance Business Intelligence reporting and analytics capabilities
• Contribute to the development of a data lake and modern data architecture
• Work across both BAU support and new capability development
• Collaborate with wider teams on AI-related initiatives and roadmap delivery
• Apply best practices around data quality, governance and performance optimisation.

• AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena)
• SQL (advanced level)
• Python (for data processing and pipeline development)
• Infrastructure / tooling exposure (e.g. Terraform, APIs, CI/CD beneficial)
• Experience working in Business Intelligence / analytics environments
• AI / ML Exposure (Key Requirement)
• Candidates must demonstrate some level of exposure to AI/ML, such as:
• Working with cloud-based AI services (e.g. AWS Bedrock or similar)
• Supporting AI‑enabled data products or workflows
• Understanding of generative AI / prompt engineering concepts
• Exposure to ML pipelines or collaborating with Data Science teams
• This does not need to be a core specialism but must be clearly evidenced and practical.
• Typically 4–8+ years’ experience in data engineering / BI roles
• Proven experience delivering AWS-based data solutions
• Background in data warehousing, analytics, or data platform development
• Experience working in complex or regulated environments is beneficial.

• Knowledge of AWS AI services (e.g. Bedrock)
• Experience contributing to data lake builds or modern data platforms
• Exposure to Data Ops / CI-CD practices
• Public sector experience (nice to have).