At a Glance
- Tasks: Design and optimise data pipelines using AWS while collaborating on AI initiatives.
- Company: Join a forward-thinking public sector team with a focus on innovation.
- Benefits: Competitive pay, hybrid work options, and potential for contract extension.
- Other info: Diverse and inclusive workplace with strong support for career growth.
- Why this job: Make a real impact in the public sector with cutting-edge technology.
- Qualifications: Experience in AWS, SQL, Python, and exposure to AI/ML required.
The predicted salary is between 50000 - 60000 £ per year.
Role: Business Intelligence Engineer (AWS / AI Exposure) REF 102093
Contract Length: initial 3 months (strong extension potential)
Location: Hybrid/Swindon or London (once a month max)
IR35: Inside
Pay Rate to Intermediary: Market Rate
Security Clearance: BPSS
Spinwell is recruiting for a Business Intelligence Engineer (AWS / AI Exposure) for an excellent opportunity within the public sector.
RESPONSIBILITIES OF THE BUSINESS INTELLIGENCE ENGINEER (AWS / AI EXPOSURE)
- 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
SKILLS/EXPERIENCE OF THE BUSINESS INTELLIGENCE ENGINEER (AWS / AI EXPOSURE)
- 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.
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
If you are a Business Intelligence Engineer (AWS / AI Exposure), apply now or send your CV to Spinwell!
We welcome all applications regardless of background, in line with our commitment to diversity, equality and inclusion.
Business Intelligence Engineer (AWS / AI Exposure) - Central Government in London employer: Spinwell Global
Spinwell is an exceptional employer, offering a dynamic work environment that fosters innovation and collaboration within the public sector. With a strong commitment to diversity, equality, and inclusion, employees benefit from flexible hybrid working arrangements in vibrant locations like Swindon or London, alongside opportunities for professional growth in cutting-edge technologies such as AWS and AI. The company also prioritises employee well-being through initiatives like the Disability Confident scheme and support for veterans, making it a truly rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Engineer (AWS / AI Exposure) - Central Government in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at local meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your AWS projects and data pipelines. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions related to Business Intelligence and AWS. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love hearing from passionate candidates like you who are eager to make an impact in the public sector.
We think you need these skills to ace Business Intelligence Engineer (AWS / AI Exposure) - Central Government in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Business Intelligence Engineer role. Highlight your experience with AWS, SQL, and Python, and don’t forget to mention any AI/ML exposure you have. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a great fit. Be sure to mention specific projects or experiences that relate to the responsibilities listed in the job description.
Showcase Your Projects:If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical examples of your work, especially those involving data pipelines or AI-related initiatives.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us. Plus, it’s super easy!
How to prepare for a job interview at Spinwell Global
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of the AWS Data Engineering stack, especially Glue, S3, Lambda, Redshift, and Athena. Be ready to discuss how you've used these tools in past projects, as practical examples will really impress the interviewers.
✨Showcase Your AI Exposure
Since AI/ML exposure is a key requirement, prepare to talk about any relevant experience you have with cloud-based AI services or supporting AI-enabled data products. Bring specific examples of how you've collaborated with Data Science teams or worked on ML pipelines.
✨Demonstrate Your Problem-Solving Skills
Expect questions that assess your ability to design and optimise data pipelines. Think of challenges you've faced in previous roles and how you overcame them. This will show your analytical thinking and problem-solving capabilities, which are crucial for this role.
✨Prepare Questions for Them
Interviews are a two-way street! Prepare insightful questions about the company's data architecture, their approach to AI initiatives, or how they ensure data quality and governance. This shows your genuine interest in the role and helps you gauge if it's the right fit for you.
