At a Glance
- Tasks: Deliver and support AWS-based data solutions while developing AI capabilities.
- Company: Join a government client focused on innovative data platforms.
- Benefits: Competitive salary, hybrid work model, and strong potential for contract extension.
- Other info: Dynamic role with opportunities to bridge data engineering and AI.
- Why this job: Be at the forefront of AI-driven data initiatives and make a real impact.
- Qualifications: 4-8+ years in data engineering/BI with AWS experience and AI exposure.
The predicted salary is between 50000 - 65000 £ per year.
Salary: £To be confirmed on application (our client has asked for this not to be advertised).
Location: Swindon or London (Hybrid – once a month max)
Contracting Authority: Government Client
Contract Length: Initial 3 months (strong extension potential)
Clearance: BPSS
Role Split
- ~50% Business Intelligence / Data Engineering delivery & support
- ~50% New capability development, including data platform and AI initiatives
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
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
Core Technical Requirements
- Strong hands-on experience with:
- AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena)
- SQL (advanced level)
- Python (for data processing and pipeline development)
- Infrastructure / tooling exposure (e.g. 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 (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
This does not need to be a core specialism but must be clearly evidenced and practical.
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)
AWS BI Engineer — AI-Driven Data Platform & Analytics employer: Comxps Ltd
As a leading employer in the government sector, we offer a dynamic work environment that fosters innovation and collaboration, particularly for our AWS BI Engineer role. Our hybrid working model allows for flexibility while being part of a team dedicated to developing cutting-edge AI-driven data solutions. With a strong focus on employee growth and development, we provide opportunities to enhance your skills in a supportive atmosphere, making this an ideal place for professionals looking to make a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land AWS BI Engineer — AI-Driven Data Platform & Analytics
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Show Off Your Skills
When you get the chance to chat with potential employers, don’t hold back! Share your hands-on experience with AWS tools and any cool projects you've worked on. This is your time to shine and show them why you’re the perfect fit for the role.
✨Tailor Your Approach
Every job is different, so make sure you tailor your conversations to highlight how your skills align with their needs. If they’re looking for someone with AI exposure, be ready to discuss your experience with AI services and how you’ve applied them in past roles.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re here to support you every step of the way, so let’s land that job together!
We think you need these skills to ace AWS BI Engineer — AI-Driven Data Platform & Analytics
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the AWS BI Engineer role. Highlight your experience with AWS data solutions and any AI exposure you've had. We want to see how your skills match what we're looking for!
Showcase Relevant Experience:When writing your application, focus on your past roles in data engineering and business intelligence. Be specific about the projects you've worked on, especially those involving AWS and AI. This helps us see your hands-on experience.
Be Clear and Concise:Keep your application clear and to the point. Use bullet points where possible to make it easy for us to read. We appreciate a well-structured application that gets straight to the important bits!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, we love seeing applications come directly from our site!
How to prepare for a job interview at Comxps Ltd
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of the AWS Data Engineering stack, especially services like Glue, S3, and Redshift. Be ready to discuss how you've used these tools in past projects, as this will show your hands-on experience and problem-solving skills.
✨Showcase Your AI Exposure
Since AI exposure is a key requirement, prepare examples of how you've worked with cloud-based AI services or supported AI-enabled data products. This could be anything from collaborating with Data Science teams to understanding generative AI concepts—make it practical and relevant!
✨Demonstrate Your Data Engineering Skills
Be prepared to dive deep into your SQL and Python skills. You might be asked to solve a problem on the spot, so practice coding challenges related to data processing and pipeline development. Highlight any experience with CI/CD practices or Infrastructure as Code too!
✨Emphasise Collaboration and Proactivity
This role requires a proactive and collaborative approach, so think of examples where you've successfully worked in teams or taken the initiative on projects. Show that you're comfortable in evolving environments and can bridge the gap between data engineering and AI use cases.
