At a Glance
- Tasks: Design and optimise data pipelines while supporting AI-driven projects.
- Company: Join a government client with a focus on innovation and technology.
- Benefits: Competitive daily rate, flexible remote work, and a chance to work on cutting-edge tech.
- Other info: Initial 3-month contract with potential for growth in a dynamic environment.
- Why this job: Make an impact in the evolving world of data and AI.
- Qualifications: Strong AWS data engineering skills and experience with BI and AI/ML tools.
We are seeking a BI Engineer for our Government client and can be based in London or Swindon. This role will be office based one day per month and the remainder remote. The BI Engineer role will be an initial 3 month contract, paying between £500 - £530/ Day Inside IR35. This role is inside IR35 - Due to the service of the role it will now be based on an Umbrella solution.
Role Profile:
- You will support the development of a modern data platform and contribute to emerging AI-driven initiatives.
- This role will suit someone with a strong foundation in AWS data engineering and BI, alongside practical exposure to AI/ML concepts or tools.
- 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.
- AWS Data Engineering stack (e.g. Glue, S3, Lambda, Redshift, Athena).
- SQL (advanced level).
- Python (for data processing).
BI Engineer employer: Circle Recruitment
As a BI Engineer with our Government client, you will be part of a forward-thinking team that values innovation and collaboration. With the flexibility of remote work and a supportive office environment in either London or Swindon, you will have ample opportunities for professional growth while contributing to impactful projects in data engineering and AI. Our commitment to employee development and a culture of inclusivity makes this an excellent place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land BI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the BI and data engineering space. We all know that sometimes it’s not just what you know, but who you know. Attend meetups or webinars to expand your circle and get your name out there.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving AWS and AI/ML. We can’t stress enough how important it is to demonstrate your expertise through real-world examples. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. We recommend practising common BI and data engineering questions, especially around AWS tools like Glue and Redshift. Being confident in your answers will help you shine during the interview process.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. We suggest reiterating your interest in the role and mentioning something specific from the conversation. It shows you’re keen and keeps you fresh in their minds.
We think you need these skills to ace BI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the BI Engineer role. Highlight your experience with AWS data engineering and any relevant AI/ML projects you've worked on. 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. Don’t forget to mention your experience with data pipelines and BI reporting.
Showcase Your Technical Skills:Be specific about your technical skills in your application. Mention your proficiency in SQL, Python, and any AWS tools you've used. We love seeing concrete examples of how you've applied these skills in past roles.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates. Plus, it’s super easy!
How to prepare for a job interview at Circle Recruitment
✨Know Your AWS Inside Out
Make sure you brush up on your AWS data engineering skills, especially with tools like Glue, S3, and Redshift. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding of the BI Engineer role.
✨Showcase Your AI/ML Knowledge
Since the role involves contributing to AI-driven initiatives, be prepared to talk about any relevant experience you have with AI or machine learning tools. Highlight specific projects where you've applied these concepts, as it will demonstrate your ability to contribute to emerging technologies.
✨Prepare for Data Pipeline Questions
Expect questions around designing and optimising data pipelines. Think of examples from your previous work where you successfully built or improved a data pipeline, and be ready to explain your thought process and the impact it had on the project.
✨Emphasise Collaboration Skills
This role requires working across teams, so be ready to discuss how you've collaborated with others in the past. Share examples of how you’ve worked with different stakeholders to deliver projects, particularly in a BI context, to show that you can thrive in a team environment.
