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# Business Intelligence Engineer (AWS/AI Exposure)

- **Company:** Fusion People
- **Location:** London, UK
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Continuous Integration, Information Engineering, Data Infrastructure, Data Systems, Data Warehousing, Python (Programming Language), Machine Learning, Performance Tuning, DataOps, SQL Databases, Data Processing, Prompt Engineering, Data Lakes, AI Platforms, Data Analytics, AWS Data Analytics, Machine Learning Operations, Terraform, Data Pipelines
- **Published:** June 2, 2026
- **Apply:** https://computerjobs.com/gb/en/mob/job/3EAEF418C3113039DC

## About the Role

Strong hands-on experience with:
AWS Data Engineering stack (eg Glue, S3, Lambda, Redshift, Athena)
SQL (advanced level)
Python (for data processing and pipeline development)
Infrastructure/tooling exposure (eg 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 (eg 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.

Experience Required:
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:
Knowledge of AWS AI services (eg Bedrock)
Experience contributing to data lake builds or modern data platforms
Exposure to DataOps/CI-CD practices
Public sector experience (nice to have)

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

Key Attributes:
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

## Description

We're looking for an experienced Business Intelligence Engineer/AWS Data Engineer to sup-port 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.

Key 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

Core Technical Requirements:
Strong hands-on experience with:
AWS Data Engineering stack (eg Glue, S3, Lambda, Redshift, Athena)
SQL (advanced level)
Python (for data processing and pipeline development)
Infrastructure/tooling exposure (eg 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 (eg 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.

Experience Required:
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:
Knowledge of AWS AI services (eg Bedrock)
Experience contributing to data lake builds or modern data platforms
Exposure to DataOps/CI-CD practices
Public sector experience (nice to have)

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

Key Attributes:
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

Summary:
This is an opportunity to join 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


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