BI Engineer/AWS Engineer - AI/ML

Summary: The role of BI/AWS Engineer involves working remotely with occasional travel to London or Swindon, focusing on the development of a modern data platform and AI-driven initiatives. Candidates should possess a strong background in AWS data engineering and Business Intelligence, along with practical experience in AI/ML concepts. The position requires hands-on expertise in various AWS tools and technologies, as well as SQL and Python for data processing. This role is classified as inside IR35, necessitating work through an umbrella company.

Key Responsibilities:

• Support the development of a modern data platform.
• Contribute to emerging AI-driven initiatives.
• Utilize AWS Data Engineering stack (e.g., Glue, S3, Lambda, Redshift, Athena).
• Develop data processing pipelines using SQL and Python.
• Work in Business Intelligence/analytics environments.
• Engage with cloud-based AI services and support AI-enabled data products.
• Understand generative AI and prompt engineering concepts.

Key Skills:

• Strong foundation in AWS data engineering and BI.
• Hands-on experience with AWS Data Engineering stack.
• Advanced SQL skills.
• Proficiency in Python for data processing and pipeline development.
• Exposure to infrastructure/tooling (e.g., Terraform, APIs, CI/CD).
• Experience in Business Intelligence/analytics environments.
• Exposure to AI/ML concepts and tools.

Salary (Rate): £530 per day

City: City of London

Country: UK

Working Arrangements: remote

IR35 Status: inside IR35

Seniority Level: Mid-Level

Industry: IT

Detailed Description From Employer:

I am recruiting for a BI/AWS Engineer to work on a remote basis with occasional travel to London or Swindon (once a month).

The role falls inside IR35 so you will be required to work through an umbrella company for the duration of the contract.

I am searching 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.

You must have strong hands-on experience in:

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

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

If your experience matches the above requirements please apply ASAP.