At a Glance
- Tasks: Build robust BI pipelines and innovate with next-gen AI technologies.
- Company: Join a high-profile public sector organisation with a focus on data and AI.
- Benefits: Competitive day rate, flexible hybrid work, and potential for contract extension.
- Other info: Perfect blend of core delivery and innovative AI initiatives.
- Why this job: Shape the future of research data while working on exciting AI projects.
- Qualifications: Experience in AWS Data Engineering and exposure to AI/ML concepts.
Location: Swindon or London (Highly flexible hybrid - only once a month max)
Contract: Initial 3 Months (Strong extension potential)
Rate: Up to £530/day (Inside IR35 / Umbrella)
The Opportunity
Are you an experienced AWS Data Engineer who loves building robust BI pipelines but is also itching to work on next-generation AI? Our Public Sector client is investing heavily in its data platform and future AI capabilities. We are looking for a Business Intelligence Engineer to bridge the gap between traditional BI delivery and emerging AI use cases. This is a unique contract role offering a perfect 50/50 split between supporting core BI/Data Engineering and building brand-new capabilities, including data lake evolution and cutting-edge AI initiatives.
The Role Split
- 50% Core Delivery: Optimising AWS data pipelines, data platform components, and enhancing BI reporting/analytics.
- 50% Innovation: Developing new capabilities, modern data architecture, and collaborating on AI-driven initiatives.
What You'll Do
- Design & Optimise: Build and scale data pipelines and platform components within AWS.
- Architect the Future: Contribute directly to the development of a modern data lake architecture.
- Innovate with AI: Collaborate with wider teams on AI-related roadmaps, supporting AI-enabled data products and workflows.
- Maintain Quality: Apply best practices around data quality, governance, DataOps, and performance optimization.
What We Are Looking For
- Core Technical Stack:
- AWS Expertise: Strong hands-on experience with the AWS Data Engineering stack (Glue, S3, Lambda, Redshift, Athena).
- Languages: Advanced SQL and Python (specifically for data processing and pipeline development).
- Environment: 4-8+ years in Data Engineering/BI roles, with a proven background in data warehousing and analytics.
- Infrastructure (Desirable): Exposure to Terraform, APIs, and CI/CD pipelines.
AI / ML Exposure (Key Requirement): You don't need to be a pure Data Scientist, but you must have practical, demonstrable exposure to AI/ML concepts. We want to see:
- Experience with cloud-based AI services (e.g., AWS Bedrock or similar).
- An understanding of Generative AI, prompt engineering, or supporting AI-enabled workflows.
- Experience collaborating with Data Science teams or working alongside ML pipelines.
Bonus Points For: Public sector experience or working within complex, regulated environments.
Why Apply?
This role offers the stability of a high-profile public sector organisation alongside the excitement of a greenfield AI project. Add to that a highly competitive day rate and an incredibly relaxed hybrid policy (just once a month in the office), and it's an ideal project to kickstart your next contract.
Are you ready to shape the future of research data? Apply now with your updated CV highlighting your AWS and AI/ML exposure!
Business Intelligence Developer employer: TALENT INTERNATIONAL UK LTD
Join a forward-thinking public sector organisation that prioritises innovation and employee well-being. With a highly flexible hybrid work model, competitive day rates, and a focus on cutting-edge AI projects, this role offers not only stability but also the chance to contribute to transformative data initiatives. Embrace a collaborative work culture that fosters professional growth and encourages you to push the boundaries of technology in a supportive environment.
Contact Details:
TALENT INTERNATIONAL UK LTD Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Developer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage with online communities. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work, especially projects related to AWS and AI. This will give potential employers a taste of what you can do and set you apart from the competition.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with AWS and AI/ML concepts in detail.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications!
We think you need these skills to ace Business Intelligence Developer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to highlight your AWS and AI/ML experience. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background makes you a perfect fit. We love seeing genuine enthusiasm for the position.
Showcase Your Technical Skills:Be specific about your technical expertise in AWS and data engineering. Mention the tools and languages you’ve worked with, like Glue, S3, SQL, and Python. We’re looking for solid examples of your hands-on experience!
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 this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at TALENT INTERNATIONAL UK LTD
✨Know Your AWS Inside Out
Make sure you brush up on your AWS Data Engineering skills, especially with Glue, S3, Lambda, Redshift, and Athena. Be ready to discuss specific projects where you've optimised data pipelines or enhanced BI reporting.
✨Showcase Your AI Knowledge
Since this role involves working on AI initiatives, be prepared to talk about your experience with AI/ML concepts. Highlight any projects where you've collaborated with Data Science teams or used cloud-based AI services like AWS Bedrock.
✨Prepare for Technical Questions
Expect technical questions that test your SQL and Python skills. Practise coding challenges or scenarios related to data processing and pipeline development to demonstrate your problem-solving abilities.
✨Understand the Public Sector Landscape
Familiarise yourself with the public sector environment and its complexities. If you have previous experience in regulated environments, be ready to share how you navigated those challenges and contributed to successful outcomes.
