Business Intelligence Engineer

RESPONSIBILITIES

Job Title: Business Intelligence Engineer (AWS / AI Exposure)

Location: Hybrid (occasional office attendance required)
Contract: Initial 3-month contract with strong extension potential
Rate: Competitive daily rate (Inside IR35)

Role Overview

We are seeking an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern cloud-based data platform while contributing to emerging AI-driven initiatives.

This role is ideal for someone with a strong background in AWS data engineering and business intelligence, combined with practical exposure to AI and machine learning technologies.

Key Responsibilities

• Design, build, and optimise data pipelines and platform components within AWS.
• Support and enhance business intelligence reporting and analytics capabilities.
• Contribute to the development of a modern data lake and cloud-based data architecture.
• Deliver both BAU support and new capability development.
• Collaborate with cross-functional teams on AI-related initiatives and roadmap delivery.
• Implement best practices for data quality, governance, and performance optimisation.

Core Technical Requirements

Strong hands-on experience with:

• AWS data engineering services (e.g. Glue, S3, Lambda, Redshift, Athena).
• Advanced SQL.
• Python for data processing and pipeline development.
• Infrastructure and automation tooling (e.g. Terraform, APIs, CI/CD).
• Business Intelligence and analytics environments.

AI / Machine Learning Exposure

Candidates should demonstrate practical exposure to AI/ML technologies, such as:

• Working with cloud-based AI services.
• Supporting AI-enabled data products or workflows.
• Understanding generative AI and prompt engineering concepts.
• Exposure to machine learning pipelines or collaboration with data science teams.

This does not need to be a primary specialism but should be evidenced through practical experience.

Experience Required

• Typically 4–8+ years' experience in Data Engineering, Business Intelligence, or related roles.
• Proven track record delivering AWS-based data solutions.
• Experience in data warehousing, analytics, or modern data platform development.
• Experience within complex or regulated environments is advantageous.

Desirable Skills

• Knowledge of cloud-based AI services.
• Experience contributing to data lake implementations and modern data platforms.
• Exposure to DataOps and CI/CD practices.
• Experience working within large-scale or public-sector organisations.

Role Focus

• Approximately 50% Business Intelligence and Data Engineering delivery/support.
• Approximately 50% development of new capabilities, including data platform enhancement and AI initiatives.

Key Attributes

• Strong problem-solving ability with a hands-on engineering mindset.
• Comfortable working in a developing and evolving technical environment.
• Ability to bridge traditional data engineering with emerging AI use cases.
• Proactive, collaborative, and delivery-focused approach.