Data Engineer

Data Engineer

• Location: South England (Hybrid – once a month max)


• Contract: Initial 3 months


• Rate: £530 per day (Inside IR35)

We are seeking a Business Intelligence Engineer with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools. This role offers the chance to support the development of a modern data platform and contribute to emerging AI-driven initiatives.

Day-to-day of the role:

• 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.

Required Skills & Qualifications:

• Strong hands-on experience with AWS Data Engineering stack (e.g., Glue, S3, Lambda, Redshift, Athena).


• Advanced SQL skills.


• Proficiency in Python for data processing and pipeline development.


• Infrastructure/tooling exposure (e.g., Terraform, APIs, CI/CD beneficial).


• Experience working in Business Intelligence/analytics environments.


• Exposure to AI/ML, such as working with cloud-based AI services or supporting AI-enabled data products.

AI / ML Exposure:

• Practical exposure to AI/ML is required, 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.

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 in complex or regulated environments is beneficial.

Desirable:

• 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).

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.

To apply for this Business Intelligence Engineer position, please submit your CV.

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