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 extension potential.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Be at the forefront of AI-driven data analytics and make a real impact.
- Qualifications: 4-8+ years in data engineering/BI with AWS experience required.
The predicted salary is between 50000 - 65000 £ per year.
Business Intelligence Engineer (AWS / AI Exposure)
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)
Our dedicated team would be pleased to discuss in more detail how we may be able to help.
AWS BI Engineer — AI-Driven Data Platform & Analytics in London employer: Comxps Ltd
As an AWS BI Engineer with our government client, you will be part of a dynamic and collaborative work culture that values innovation and professional growth. Located in either Swindon or London, this hybrid role offers the unique opportunity to engage in cutting-edge AI initiatives while contributing to impactful data solutions in a regulated environment. With strong potential for contract extension and a focus on employee development, this position is ideal for those seeking meaningful and rewarding employment in the public sector.
StudySmarter Expert Advice🤫
We think this is how you could land AWS BI Engineer — AI-Driven Data Platform & Analytics in London
✨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 works in BI or AWS. 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, make sure to highlight your hands-on experience with AWS and any AI projects you've worked on. Bring examples of your work or even a portfolio to showcase your skills – it’ll set you apart from the crowd!
✨Tailor Your Approach
Every job is different, so don’t be afraid to tweak your pitch based on the role. If you're applying for a position that focuses on AI, emphasise your experience with AI services and how you’ve used them in past projects. Make it personal and relevant!
✨Apply Through Our Website
We’ve got some fantastic opportunities listed on our website, so make sure to check them out! Applying directly through us not only gives you a better chance but also allows us to support you throughout the process. Let’s land that job together!
We think you need these skills to ace AWS BI Engineer — AI-Driven Data Platform & Analytics in London
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 Your Projects:Include specific projects where you've used AWS tools like Glue, S3, or Redshift. We love seeing real examples of your work, especially if they relate to data engineering or AI initiatives.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points for key achievements and make it easy for us to see your qualifications at a glance. We appreciate straightforward communication!
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. We can’t wait to hear from you!
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 using AWS Bedrock to collaborating with Data Science teams on ML pipelines.
✨Demonstrate Your Collaborative Spirit
This role requires a proactive and collaborative approach, so think of instances where you've successfully worked in teams. Be ready to share how you bridged gaps between data engineering and AI use cases, highlighting your ability to adapt in evolving environments.
✨Prepare for Technical Questions
Expect technical questions that test your SQL and Python skills. Practise coding challenges or data processing scenarios beforehand, as this will help you feel more confident and demonstrate your advanced level of expertise during the interview.
