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Data Engineer
Skills & Technologies
Job Description
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.
Company & Role Analysis
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