At a Glance
- Tasks: Design and optimise data pipelines, support AI initiatives, and enhance Business Intelligence reporting.
- Company: Join a public sector organisation making a real difference in the UK.
- Benefits: Competitive pay of £530 PD, hybrid work model, and potential for extension.
- Other info: Dynamic role with opportunities for continuous improvement and collaboration.
- Why this job: Be at the forefront of AI-driven data solutions and shape the future of data platforms.
- Qualifications: 4-8 years in Data Engineering, strong AWS and SQL skills, plus AI/ML exposure.
The predicted salary is between 50000 - 60000 £ per year.
Our trusted client, that operates within the public sector and helps millions of people in the UK with funding investment is 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 (ML) paying up to £530PD Inside IR 35, one day onsite per month in either Swindon or London.
This is an exciting opportunity to join an organisation investing heavily in its data platform and future AI capabilities, with the successful candidate playing a key role in shaping both current Business Intelligence delivery and next-generation data solutions.
This role will suit someone with a strong foundation in AWS data engineering and Business Intelligence, alongside practical exposure to AI/ML concepts or tools.
Role and Responsibilities:- Data Engineering: Design, build and optimise data pipelines and data platform components within AWS.
- Business Intelligence: Support and enhance Business Intelligence reporting and analytics capabilities.
- Data Architecture: Contribute to the development of a data lake and modern data architecture.
- Platform Development: Work across both BAU support and new capability development, with approximately 50% of the role focused on Business Intelligence and Data Engineering delivery and 50% focused on data platform and AI initiatives.
- AI Initiatives: Collaborate with wider teams on AI-related initiatives and roadmap delivery.
- Data Governance: Apply best practices around data quality, governance and performance optimisation.
- Stakeholder Collaboration: Work closely with technical and business teams to deliver high-quality data solutions and support organisational objectives.
- Continuous Improvement: Identify opportunities to improve processes, automation, tooling, and platform performance.
- 4–8+ years' experience in Data Engineering, Business Intelligence or related roles.
- Strong hands-on experience with:
- AWS Data-based solutions and engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena)
- SQL (advanced level)
- Python (for data processing and pipeline development)
- Infrastructure and tooling exposure (e.g. Terraform, APIs, CI/CD)
- AI / ML Exposure (Key Requirement):
- 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 of generative AI and prompt engineering concepts
- Exposure to ML pipelines or collaboration with Data Science teams
- Strong problem-solving skills with a hands-on engineering mindset.
- Comfortable working within a developing and evolving environment.
- Ability to bridge the gap between data engineering and emerging AI use cases.
- Proactive, collaborative and delivery-focused approach.
- Strong communication and stakeholder management skills.
- Experience contributing to data lake builds or modern data platforms.
- Experience working in complex or regulated environments is beneficial.
- Exposure to Data Ops and CI/CD practices.
- Public sector experience.
Please note: BPSS clearance is essential.
Business Intelligence / Data Engineer in Swindon employer: Intec Select
Join a forward-thinking organisation that is dedicated to enhancing public services through innovative data solutions. With a strong emphasis on employee growth and collaboration, this company offers a dynamic work culture where your contributions directly impact millions of lives across the UK. Enjoy the flexibility of a hybrid working model, competitive pay, and the opportunity to be at the forefront of AI-driven initiatives in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence / Data Engineer in Swindon
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even local events. The more you engage with others, the better your chances of hearing about job openings that might not even be advertised.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your data engineering projects or any AI initiatives you've worked on. This will give potential employers a clear picture of what you can bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to AWS, SQL, and AI concepts. Practice explaining your past projects and how they relate to the role. Confidence is key, so make sure you’re ready to shine!
✨Apply Through Us!
We’ve got some fantastic opportunities waiting for you on our website. Don’t hesitate to apply directly through us – it’s the best way to get noticed and land that dream job in Business Intelligence or Data Engineering!
We think you need these skills to ace Business Intelligence / Data Engineer in Swindon
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with AWS data solutions and AI/ML exposure. 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 opportunity and how your background in Business Intelligence and Data Engineering makes you a perfect fit for our team.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data engineering or BI. We love candidates who can think on their feet and come up with innovative solutions!
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’re considered for this exciting opportunity right away!
How to prepare for a job interview at Intec Select
✨Know Your AWS Inside Out
Make sure you brush up on your AWS knowledge, especially the services mentioned in the job description like Glue, S3, and Redshift. Be ready to discuss how you've used these tools in past projects and how they can be applied to build and optimise data pipelines.
✨Showcase Your AI/ML Experience
Since AI exposure is a key requirement, prepare examples of any AI or ML projects you've worked on. Talk about your experience with cloud-based AI services and how you've contributed to AI-enabled data products. This will show that you can bridge the gap between data engineering and emerging AI use cases.
✨Prepare for Technical Questions
Expect technical questions around SQL, Python, and data architecture. Brush up on your advanced SQL skills and be ready to solve problems on the spot. Practising coding challenges or data engineering scenarios can help you feel more confident during the interview.
✨Communicate Clearly and Collaboratively
Strong communication skills are essential for this role. Practice explaining complex technical concepts in simple terms, as you'll need to work closely with both technical and business teams. Show that you're proactive and collaborative by discussing how you've successfully managed stakeholder relationships in the past.
