At a Glance
- Tasks: Build and enhance a modern AWS-based data platform while contributing to AI initiatives.
- Company: Join a forward-thinking company in Swindon or London with a hybrid work model.
- Benefits: Competitive pay, flexible working, and opportunities for professional growth.
- Other info: Exciting role with potential for contract extension and career advancement.
- Why this job: Dive into cutting-edge tech and make an impact in the evolving world of AI.
- Qualifications: Strong AWS data engineering skills and experience with BI delivery.
The predicted salary is between 60000 - 80000 £ per year.
We’re supporting a client in hiring an experienced Business Intelligence Engineer / AWS Data Engineer to help build and enhance a modern AWS-based data platform while contributing to emerging AI initiatives. This role combines hands-on data engineering, BI delivery, and exposure to AI/ML technologies within a large-scale, evolving environment.
Key Skills Required
- Strong AWS data engineering experience (Glue, S3, Lambda, Redshift, Athena)
- Advanced SQL
- Python for data processing & pipelines
- BI / analytics background
- Experience with modern data platforms or data lakes
- Exposure to infrastructure tooling such as Terraform, APIs or CI/CD is beneficial
- AI / ML Exposure Needed
Candidates must demonstrate practical exposure to AI/ML concepts or tooling, such as:
- AWS Bedrock or similar AI services
- AI-enabled data products/workflows
- Generative AI / prompt engineering concepts
- ML pipelines or collaboration with Data Science teams
Experience
- Typically, 4–8+ years in Data Engineering / BI roles
- Strong experience delivering AWS-based data solutions
- Experience in regulated or complex environments is advantageous
- Public sector experience is a bonus
Role Focus
- 50% BI / Data Engineering delivery & support
- 50% New capability development including data platform & AI initiatives
AWS Data Engineer in London employer: Indotronix Avani UK
As an employer, we pride ourselves on fostering a dynamic and inclusive work culture that encourages innovation and collaboration. Our hybrid working model allows for flexibility, with the opportunity to engage in exciting projects at the forefront of AI and data engineering, while our commitment to employee development ensures that you will have ample opportunities for growth and advancement within the company. Located in vibrant Swindon or London, you will be part of a forward-thinking team dedicated to building cutting-edge solutions in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land AWS Data Engineer in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and BI space. Attend meetups or webinars related to AWS and AI/ML. You never know who might have a lead on that perfect role!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AWS projects, especially those involving Glue, S3, and Redshift. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your SQL and Python skills. Be ready to discuss your experience with AI/ML concepts and how you've applied them in past roles. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, it’s a great way to get noticed by hiring managers who are looking for talent just like yours.
We think you need these skills to ace AWS Data Engineer in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your AWS data engineering experience and any relevant BI projects. We want to see how your skills align with the role, so don’t be shy about showcasing your expertise in Glue, S3, and other key tools!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background fits with our client’s needs. We love seeing enthusiasm for AI/ML initiatives, so mention any relevant experiences.
Showcase Your Projects:If you've worked on any cool data platforms or AI projects, make sure to include them in your application. We’re keen to see practical examples of your work, especially if they involve AWS services or modern data solutions.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it makes the process smoother for everyone involved!
How to prepare for a job interview at Indotronix Avani UK
✨Know Your AWS Inside Out
Make sure you brush up on your AWS skills, especially with Glue, S3, Lambda, Redshift, and Athena. Be ready to discuss how you've used these tools in past projects and be prepared to answer technical questions that test your knowledge.
✨Show Off Your SQL Skills
Since advanced SQL is a key requirement, practice writing complex queries and optimising them for performance. You might be asked to solve a problem on the spot, so having a few examples of your work ready can really help you shine.
✨Demonstrate Your AI/ML Knowledge
Familiarise yourself with AI and ML concepts, especially those related to AWS services like Bedrock. Be prepared to discuss any relevant projects or experiences where you've collaborated with Data Science teams or worked on AI-enabled data products.
✨Prepare for Behavioural Questions
Expect questions about your experience in regulated environments and how you've handled challenges in previous roles. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your problem-solving skills.
