Full job descriptionBusiness Intelligence / Data Engineer (AWS / AI Exposure)
Swindon or London - Hybrid (Once per month onsite)
£530 PD – Inside IR 35 – 3 months (likely extension) – Start ASAP.

Our trusted client, that operates within the public sector and helps millions of people in the UK with funding investment is seeking an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives (ML).

This is an exciting opportunity to join an organisation investing heavily in its data platform and future AI capabilities, with the successful candidate playing a key role in shaping both current Business Intelligence delivery and next-generation data solutions.

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

Role and Responsibilities:
*Data Engineering: Design, build and optimise data pipelines and data platform components within AWS.
*Business Intelligence: Support and enhance Business Intelligence reporting and analytics capabilities.
*Data Architecture: Contribute to the development of a data lake and modern data architecture.
*Platform Development: Work across both BAU support and new capability development, with approximately 50% of the role focused on Business Intelligence and Data Engineering delivery and 50% focused on data platform and AI initiatives.
*AI Initiatives: Collaborate with wider teams on AI-related initiatives and roadmap delivery.
*Data Governance: Apply best practices around data quality, governance and performance optimisation.
*Stakeholder Collaboration: Work closely with technical and business teams to deliver high-quality data solutions and support organisational objectives.
*Continuous Improvement: Identify opportunities to improve processes, automation, tooling, and platform performance.

Skills and Experience:
*4–8+ years’ experience in Data Engineering, Business Intelligence or related roles

Strong hands-on experience with:
*AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena)
*SQL (advanced level)
*Python (for data processing and pipeline development)
*Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD)

AI / ML Exposure (Key Requirement):
Practical 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 and prompt engineering concepts
*Exposure to ML pipelines or collaboration with Data Science teams

Key Attributes
*Strong problem-solving skills with a hands-on engineering mindset
*Comfortable working within a developing and evolving environment
*Ability to bridge the gap between data engineering and emerging AI use cases
*Proactive, collaborative and delivery-focused approach
*Strong communication and stakeholder management skills
Desirable
*Experience contributing to data lake builds or modern data platforms
*Experience working in complex or regulated environments is beneficial
*Exposure to Data Ops and CI/CD practices
*Public sector experience

Please note: BPSS clearance is essential