Business Intelligence Engineer; AWS​/AI Exposure

Business Intelligence Engineer (AWS / AI Exposure) - 14793

Salary: £To be confirmed on application (our client has asked for this not to be advertised).

Location: Swindon or London (Hybrid - once a month max)

Contracting Authority: Government Client

Contract Length: Initial 3 months (strong extension potential)

Clearance: BPSS

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

• 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

• Strong problem solver with a hands-on engineering mindset
• Comfortable working in a developing / evolving environment
• Able to bridge the gap between data engineering and emerging AI use cases
• Proactive and collaborative approach

• 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

• 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

Currently, this experience does not need to be a core specialism but must be clearly evidenced and practical.

• 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)