At a Glance
- Tasks: Design and optimise data pipelines while supporting AI-driven initiatives.
- Company: Join a forward-thinking organisation at the forefront of data engineering and AI.
- Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
- Other info: Inclusive workplace committed to diversity and equal opportunities.
- Why this job: Make an impact by shaping modern data solutions and enhancing analytics capabilities.
- Qualifications: 4-8+ years in data engineering with AWS experience and AI exposure.
The predicted salary is between 50000 - 65000 £ per year.
We're seeking an experienced Business Intelligence Engineer / AWS Data Engineer to support the development of a modern data platform and contribute to emerging AI-driven initiatives. This role offers the opportunity to work at the intersection of data engineering, business intelligence, and AI, helping to shape both current analytics capabilities and future data solutions.
Location & Contract
- Location: Swindon or London (Hybrid - approx. once per month onsite)
- Contract: Initial 3 months (strong extension potential)
- IR35: Inside IR35
- Clearance: BPSS required
Key Responsibilities
- Design, build, and optimise data pipelines and platform components within AWS
- Support and enhance Business Intelligence reporting and analytics
- Contribute to the development of a modern data lake and data architecture
- Deliver across both BAU support and new capability development
- Collaborate with cross-functional teams on AI initiatives and roadmap delivery
- Apply best practices for data quality, governance, and performance optimisation
Core Technical Skills
- Strong hands-on experience with AWS data stack (Glue, S3, Lambda, Redshift, Athena)
- Advanced SQL
- Python for data processing and pipeline development
- Exposure to tooling such as Terraform, APIs, or CI/CD pipelines (desirable)
- Experience working in Business Intelligence / analytics environments
- AI / ML Exposure (Essential)
Candidates must demonstrate practical 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 generative AI concepts, including prompt engineering
- Exposure to ML pipelines or collaboration with Data Science teams (This does not need to be a core specialism but must be clearly evidenced.)
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
Desirable Experience
- Knowledge of AWS AI services (e.g. Bedrock)
- Experience contributing to data lake or modern data platforms
- Exposure to DataOps / CI-CD practices
- Experience in the public sector (nice to have)
Role Split
- ~50% BI / Data Engineering delivery and support
- ~50% New capability development, including data platform and AI initiatives
Key Attributes
- Strong problem solver with a hands-on engineering mindset
- Comfortable working in a fast-paced, evolving environment
- Ability to bridge data engineering and AI use cases
- Proactive, collaborative, and delivery-focused
Additional Information
This organisation is part of the Disability Confident scheme and Armed Forces Covenant. Candidates eligible for the Guaranteed Interview Scheme should highlight this in their application.
Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.
Business Intelligence Engineer (AWS / AI Exposure) employer: Sanderson Government & Defence
Join a forward-thinking organisation that values innovation and collaboration, offering a dynamic work culture where your contributions to data engineering and AI initiatives will be recognised and rewarded. With a hybrid working model based in Swindon or London, you will benefit from flexible working arrangements, professional development opportunities, and a commitment to diversity and inclusion, making it an excellent place for career growth and meaningful impact.
Contact Details:
Sanderson Government & Defence Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Engineer (AWS / AI Exposure)
✨Network Like a Pro
Get out there and connect with folks in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the game. You never know when a casual chat could lead to your next big opportunity.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving AWS and AI. This will give potential employers a clear view of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to BI and AWS. Practice explaining your past projects and how they relate to the role. Confidence is key, so get comfortable talking about your skills!
✨Apply Through Us
Make sure to apply through our website! We’re always on the lookout for talented individuals like you, and applying directly helps us keep track of your application. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Business Intelligence Engineer (AWS / AI Exposure)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your AWS data stack experience and any AI exposure you've had. We want to see how you can contribute to our modern data platform!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background in data engineering and business intelligence aligns with our needs. Let us know what excites you about working with AI initiatives!
Showcase Your Projects:If you've worked on relevant projects, don't hold back! Include links or descriptions of your work with AWS services, data pipelines, or AI-driven solutions. We love seeing practical examples of your skills in action!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we’re excited to see what you bring to the table!
How to prepare for a job interview at Sanderson Government & Defence
✨Know Your AWS Inside Out
Make sure you brush up on your knowledge of the AWS data stack, especially Glue, S3, Lambda, Redshift, and Athena. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your AI Exposure
Since this role requires practical exposure to AI/ML, prepare examples of how you've worked with cloud-based AI services or contributed to AI-enabled data products. Highlight any experience with generative AI concepts and be ready to discuss prompt engineering.
✨Demonstrate Problem-Solving Skills
This position values strong problem-solving abilities. Think of specific instances where you've tackled complex data engineering challenges. Use the STAR method (Situation, Task, Action, Result) to structure your responses and clearly illustrate your thought process.
✨Collaborate and Communicate
As you'll be working with cross-functional teams, emphasise your collaborative skills. Prepare to discuss how you've successfully worked with others in the past, particularly in fast-paced environments. Good communication can set you apart from other candidates.
