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.
Role Split:
- ~50% Business Intelligence / Data Engineering delivery & support
- ~50% New capability development, including data platform and AI initiatives
RESPONSIBILITIES
- 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.
Experience and Skills
Essential Skills
- 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.
Desirable Skills
- Knowledge of AWS AI services (e.g. Bedrock)
- Experience contributing to data lake builds or modern data platforms
- Exposure to DataOps / CI-CD practices
- Public sector experience (nice to have).